Overview

Dataset statistics

Number of variables257
Number of observations445132
Missing cells68253964
Missing cells (%)59.7%
Total size in memory225.1 MiB
Average record size in memory530.1 B

Variable types

Categorical218
Numeric36
Unsupported3

Alerts

CADULT1 has constant value "1.0"Constant
CCLGHOUS has constant value "1.0"Constant
COLGHOUS has constant value "1.0"Constant
SAFETIME has constant value "1.0"Constant
STATERE1 has constant value "1.0"Constant
STATE has a high cardinality: 54 distinct valuesHigh cardinality
_AGE80 has a high cardinality: 63 distinct valuesHigh cardinality
ACEADNED is highly imbalanced (62.9%)Imbalance
ACEDEPRS is highly imbalanced (55.8%)Imbalance
ACEDIVRC is highly imbalanced (53.9%)Imbalance
ACEDRINK is highly imbalanced (52.6%)Imbalance
ACEDRUGS is highly imbalanced (68.4%)Imbalance
ACEHVSEX is highly imbalanced (76.7%)Imbalance
ACEPRISN is highly imbalanced (73.5%)Imbalance
ACEPUNCH is highly imbalanced (57.0%)Imbalance
ACETOUCH is highly imbalanced (64.1%)Imbalance
ACETTHEM is highly imbalanced (69.5%)Imbalance
ADDEPEV3 is highly imbalanced (60.5%)Imbalance
ASBIADVC is highly imbalanced (52.0%)Imbalance
ASBIRDUC is highly imbalanced (75.6%)Imbalance
ASTHMA3 is highly imbalanced (67.6%)Imbalance
BLIND is highly imbalanced (82.4%)Imbalance
CAREGIV1 is highly imbalanced (66.0%)Imbalance
CASTHDX2 is highly imbalanced (59.2%)Imbalance
CELLFON5 is highly imbalanced (> 99.9%)Imbalance
CELLSEX1 is highly imbalanced (56.3%)Imbalance
CELPHON1 is highly imbalanced (> 99.9%)Imbalance
CHCCOPD3 is highly imbalanced (77.5%)Imbalance
CHCKDNY2 is highly imbalanced (84.5%)Imbalance
CHCOCNC1 is highly imbalanced (72.0%)Imbalance
CHCSCNC1 is highly imbalanced (76.8%)Imbalance
CHECKUP1 is highly imbalanced (59.1%)Imbalance
CIMEMLOS is highly imbalanced (70.4%)Imbalance
CNCRDIFF is highly imbalanced (50.9%)Imbalance
COLNCNCR is highly imbalanced (52.0%)Imbalance
COLNSIGM is highly imbalanced (66.5%)Imbalance
COPDBRTH is highly imbalanced (55.7%)Imbalance
COPDBTST is highly imbalanced (50.6%)Imbalance
COPDCOGH is highly imbalanced (69.9%)Imbalance
COPDFLEM is highly imbalanced (70.2%)Imbalance
COVIDPOS is highly imbalanced (53.0%)Imbalance
COVIDSMP is highly imbalanced (54.7%)Imbalance
COVIDVA1 is highly imbalanced (62.8%)Imbalance
CRGVALZD is highly imbalanced (59.1%)Imbalance
CRGVEXPT is highly imbalanced (53.5%)Imbalance
CRGVHOU1 is highly imbalanced (60.6%)Imbalance
CRVCLPAP is highly imbalanced (74.4%)Imbalance
CSRVCLIN is highly imbalanced (80.0%)Imbalance
CSRVDEIN is highly imbalanced (82.1%)Imbalance
CSRVINSR is highly imbalanced (82.0%)Imbalance
CSRVPAIN is highly imbalanced (71.5%)Imbalance
CSRVRTRN is highly imbalanced (52.3%)Imbalance
CSTATE1 is highly imbalanced (68.5%)Imbalance
CTELENM1 is highly imbalanced (> 99.9%)Imbalance
CTELNUM1 is highly imbalanced (> 99.9%)Imbalance
CVDCRHD4 is highly imbalanced (79.5%)Imbalance
CVDINFR4 is highly imbalanced (81.2%)Imbalance
CVDSTRK3 is highly imbalanced (85.4%)Imbalance
DEAF is highly imbalanced (75.6%)Imbalance
DECIDE is highly imbalanced (70.3%)Imbalance
DIABETE4 is highly imbalanced (68.0%)Imbalance
DIABTYPE is highly imbalanced (59.3%)Imbalance
DIFFALON is highly imbalanced (78.3%)Imbalance
DIFFDRES is highly imbalanced (86.6%)Imbalance
DIFFWALK is highly imbalanced (66.0%)Imbalance
ECIGNOW2 is highly imbalanced (58.4%)Imbalance
EXERANY2 is highly imbalanced (59.0%)Imbalance
FEETSORE is highly imbalanced (76.0%)Imbalance
FOODSTMP is highly imbalanced (74.0%)Imbalance
HADHYST2 is highly imbalanced (55.4%)Imbalance
HADMAM is highly imbalanced (59.3%)Imbalance
HADSIGM4 is highly imbalanced (54.0%)Imbalance
HAVARTH4 is highly imbalanced (51.2%)Imbalance
HEATTBCO is highly imbalanced (67.9%)Imbalance
HIVRISK5 is highly imbalanced (84.5%)Imbalance
INSULIN1 is highly imbalanced (52.1%)Imbalance
IYEAR is highly imbalanced (68.2%)Imbalance
LADULT1 is highly imbalanced (98.2%)Imbalance
LANDLINE is highly imbalanced (60.4%)Imbalance
LANDSEX1 is highly imbalanced (65.3%)Imbalance
MARJDAB is highly imbalanced (70.8%)Imbalance
MARJOTHR is highly imbalanced (81.4%)Imbalance
MARJSMOK is highly imbalanced (60.5%)Imbalance
MARJVAPE is highly imbalanced (58.8%)Imbalance
MEDCOST1 is highly imbalanced (77.4%)Imbalance
MENTCIGS is highly imbalanced (50.9%)Imbalance
MENTECIG is highly imbalanced (50.9%)Imbalance
NUMHHOL4 is highly imbalanced (78.4%)Imbalance
PCPSARS2 is highly imbalanced (59.2%)Imbalance
PFPPRVN4 is highly imbalanced (59.0%)Imbalance
PREDIAB2 is highly imbalanced (69.4%)Imbalance
PREGNANT is highly imbalanced (87.2%)Imbalance
PVTRESD1 is highly imbalanced (99.7%)Imbalance
PVTRESD3 is highly imbalanced (96.4%)Imbalance
QSTLANG is highly imbalanced (75.9%)Imbalance
RCSRLTN2 is highly imbalanced (56.7%)Imbalance
RCSXBRTH is highly imbalanced (50.2%)Imbalance
RENTHOM1 is highly imbalanced (50.7%)Imbalance
RESPSLCT is highly imbalanced (50.7%)Imbalance
RRATWRK2 is highly imbalanced (59.7%)Imbalance
RRCLASS3 is highly imbalanced (62.5%)Imbalance
RRHCARE4 is highly imbalanced (50.5%)Imbalance
RRPHYSM2 is highly imbalanced (83.2%)Imbalance
SDHBILLS is highly imbalanced (75.3%)Imbalance
SDHEMPLY is highly imbalanced (73.7%)Imbalance
SDHFOOD1 is highly imbalanced (61.5%)Imbalance
SDHTRNSP is highly imbalanced (80.5%)Imbalance
SDHUTILS is highly imbalanced (81.4%)Imbalance
SMALSTOL is highly imbalanced (60.6%)Imbalance
SOFEMALE is highly imbalanced (70.6%)Imbalance
SOMALE is highly imbalanced (75.0%)Imbalance
STOOLDN2 is highly imbalanced (56.0%)Imbalance
TRNSGNDR is highly imbalanced (92.9%)Imbalance
USENOW3 is highly imbalanced (88.8%)Imbalance
VETERAN3 is highly imbalanced (71.8%)Imbalance
VIRCOLO1 is highly imbalanced (56.7%)Imbalance
ACEADNED has 397375 (89.3%) missing valuesMissing
ACEADSAF has 397311 (89.3%) missing valuesMissing
ACEDEPRS has 396846 (89.2%) missing valuesMissing
ACEDIVRC has 396960 (89.2%) missing valuesMissing
ACEDRINK has 396901 (89.2%) missing valuesMissing
ACEDRUGS has 396912 (89.2%) missing valuesMissing
ACEHURT1 has 397055 (89.2%) missing valuesMissing
ACEHVSEX has 397256 (89.2%) missing valuesMissing
ACEPRISN has 396938 (89.2%) missing valuesMissing
ACEPUNCH has 397003 (89.2%) missing valuesMissing
ACESWEAR has 397103 (89.2%) missing valuesMissing
ACETOUCH has 397160 (89.2%) missing valuesMissing
ACETTHEM has 397196 (89.2%) missing valuesMissing
ALCDAY4 has 40763 (9.2%) missing valuesMissing
ASBIADVC has 385687 (86.6%) missing valuesMissing
ASBIALCH has 384190 (86.3%) missing valuesMissing
ASBIBING has 384404 (86.4%) missing valuesMissing
ASBIDRNK has 384292 (86.3%) missing valuesMissing
ASBIRDUC has 398512 (89.5%) missing valuesMissing
ASTHNOW has 378438 (85.0%) missing valuesMissing
AVEDRNK3 has 234769 (52.7%) missing valuesMissing
BCPREFER has 430605 (96.7%) missing valuesMissing
BIRTHSEX has 365705 (82.2%) missing valuesMissing
BLDSTFIT has 433738 (97.4%) missing valuesMissing
BLIND has 19855 (4.5%) missing valuesMissing
BRTHCNT4 has 433791 (97.5%) missing valuesMissing
CADULT1 has 96052 (21.6%) missing valuesMissing
CAGEG has 394956 (88.7%) missing valuesMissing
CAREGIV1 has 346622 (77.9%) missing valuesMissing
CASTHDX2 has 394471 (88.6%) missing valuesMissing
CASTHNO2 has 439804 (98.8%) missing valuesMissing
CCLGHOUS has 443807 (99.7%) missing valuesMissing
CDASSIST has 437701 (98.3%) missing valuesMissing
CDDISCUS has 437732 (98.3%) missing valuesMissing
CDHELP has 443199 (99.6%) missing valuesMissing
CDHOUSE has 437679 (98.3%) missing valuesMissing
CDSOCIAL has 437717 (98.3%) missing valuesMissing
CELLFON5 has 96052 (21.6%) missing valuesMissing
CELLSEX1 has 96053 (21.6%) missing valuesMissing
CELPHON1 has 349080 (78.4%) missing valuesMissing
CERVSCRN has 224318 (50.4%) missing valuesMissing
CHILDREN has 9312 (2.1%) missing valuesMissing
CHKHEMO3 has 432532 (97.2%) missing valuesMissing
CIMEMLOS has 380457 (85.5%) missing valuesMissing
CNCRAGE has 422567 (94.9%) missing valuesMissing
CNCRDIFF has 421733 (94.7%) missing valuesMissing
CNCRTYP2 has 422588 (94.9%) missing valuesMissing
COLGHOUS has 445113 (> 99.9%) missing valuesMissing
COLGSEX1 has 445111 (> 99.9%) missing valuesMissing
COLNCNCR has 154046 (34.6%) missing valuesMissing
COLNSIGM has 232309 (52.2%) missing valuesMissing
COLNTES1 has 237848 (53.4%) missing valuesMissing
COPDBRTH has 437883 (98.4%) missing valuesMissing
COPDBTST has 437900 (98.4%) missing valuesMissing
COPDCOGH has 437863 (98.4%) missing valuesMissing
COPDFLEM has 437870 (98.4%) missing valuesMissing
COPDSMOK has 437917 (98.4%) missing valuesMissing
COVACGET has 414837 (93.2%) missing valuesMissing
COVIDFS1 has 321193 (72.2%) missing valuesMissing
COVIDINT has 436735 (98.1%) missing valuesMissing
COVIDNU1 has 320385 (72.0%) missing valuesMissing
COVIDPOS has 49235 (11.1%) missing valuesMissing
COVIDPRM has 418417 (94.0%) missing valuesMissing
COVIDSE1 has 328043 (73.7%) missing valuesMissing
COVIDSMP has 320933 (72.1%) missing valuesMissing
COVIDVA1 has 292089 (65.6%) missing valuesMissing
CRGVALZD has 427832 (96.1%) missing valuesMissing
CRGVEXPT has 366598 (82.4%) missing valuesMissing
CRGVHOU1 has 425772 (95.7%) missing valuesMissing
CRGVHRS1 has 425599 (95.6%) missing valuesMissing
CRGVLNG1 has 425549 (95.6%) missing valuesMissing
CRGVPER1 has 425732 (95.6%) missing valuesMissing
CRGVPRB3 has 425660 (95.6%) missing valuesMissing
CRGVREL4 has 425498 (95.6%) missing valuesMissing
CRVCLCNC has 309555 (69.5%) missing valuesMissing
CRVCLHPV has 309960 (69.6%) missing valuesMissing
CRVCLPAP has 309745 (69.6%) missing valuesMissing
CSRVCLIN has 435403 (97.8%) missing valuesMissing
CSRVCTL2 has 443591 (99.7%) missing valuesMissing
CSRVDEIN has 435392 (97.8%) missing valuesMissing
CSRVDOC1 has 435325 (97.8%) missing valuesMissing
CSRVINSR has 435384 (97.8%) missing valuesMissing
CSRVINST has 437882 (98.4%) missing valuesMissing
CSRVPAIN has 428035 (96.2%) missing valuesMissing
CSRVRTRN has 435361 (97.8%) missing valuesMissing
CSRVSUM has 435349 (97.8%) missing valuesMissing
CSRVTRT3 has 427830 (96.1%) missing valuesMissing
CSTATE1 has 96060 (21.6%) missing valuesMissing
CTELENM1 has 349081 (78.4%) missing valuesMissing
CTELNUM1 has 96051 (21.6%) missing valuesMissing
DEAF has 18644 (4.2%) missing valuesMissing
DECIDE has 20986 (4.7%) missing valuesMissing
DIABAGE4 has 383973 (86.3%) missing valuesMissing
DIABEDU1 has 432532 (97.2%) missing valuesMissing
DIABEYE1 has 432532 (97.2%) missing valuesMissing
DIABTYPE has 432532 (97.2%) missing valuesMissing
DIFFALON has 23942 (5.4%) missing valuesMissing
DIFFDRES has 22879 (5.1%) missing valuesMissing
DIFFWALK has 22155 (5.0%) missing valuesMissing
DRNK3GE5 has 235283 (52.9%) missing valuesMissing
ECIGNOW2 has 33579 (7.5%) missing valuesMissing
EMPLOY1 has 6196 (1.4%) missing valuesMissing
EMTSUPRT has 190991 (42.9%) missing valuesMissing
EYEEXAM1 has 432532 (97.2%) missing valuesMissing
FEETSORE has 432532 (97.2%) missing valuesMissing
FIREARM5 has 405332 (91.1%) missing valuesMissing
FLSHTMY3 has 236258 (53.1%) missing valuesMissing
FLUSHOT7 has 43593 (9.8%) missing valuesMissing
FOODSTMP has 191893 (43.1%) missing valuesMissing
GUNLOAD has 431307 (96.9%) missing valuesMissing
HADHYST2 has 227453 (51.1%) missing valuesMissing
HADMAM has 223319 (50.2%) missing valuesMissing
HADSEX has 425256 (95.5%) missing valuesMissing
HADSIGM4 has 152413 (34.2%) missing valuesMissing
HAVECFS has 445132 (100.0%) missing valuesMissing
HEATTBCO has 430103 (96.6%) missing valuesMissing
HEIGHT3 has 17055 (3.8%) missing valuesMissing
HHADULT has 96061 (21.6%) missing valuesMissing
HIVRISK5 has 48461 (10.9%) missing valuesMissing
HIVTST7 has 46235 (10.4%) missing valuesMissing
HIVTSTD3 has 316269 (71.1%) missing valuesMissing
HOWLONG has 274020 (61.6%) missing valuesMissing
HPVADSHT has 443460 (99.6%) missing valuesMissing
HPVADVC4 has 437786 (98.3%) missing valuesMissing
HTIN4 has 32476 (7.3%) missing valuesMissing
HTM4 has 28652 (6.4%) missing valuesMissing
IMFVPLA3 has 436089 (98.0%) missing valuesMissing
INCOME3 has 12932 (2.9%) missing valuesMissing
INSULIN1 has 432532 (97.2%) missing valuesMissing
LADULT1 has 349082 (78.4%) missing valuesMissing
LANDLINE has 96061 (21.6%) missing valuesMissing
LANDSEX1 has 401436 (90.2%) missing valuesMissing
LASTSIG4 has 441658 (99.2%) missing valuesMissing
LASTSMK2 has 397723 (89.3%) missing valuesMissing
LCSCTSC1 has 38210 (8.6%) missing valuesMissing
LCSCTWHN has 413627 (92.9%) missing valuesMissing
LCSFIRST has 283417 (63.7%) missing valuesMissing
LCSLAST has 324513 (72.9%) missing valuesMissing
LCSNUMCG has 288992 (64.9%) missing valuesMissing
LCSSCNCR has 279557 (62.8%) missing valuesMissing
LOADULK2 has 441077 (99.1%) missing valuesMissing
LSATISFY has 190644 (42.8%) missing valuesMissing
MARIJAN1 has 350213 (78.7%) missing valuesMissing
MARJDAB has 433637 (97.4%) missing valuesMissing
MARJEAT has 433628 (97.4%) missing valuesMissing
MARJOTHR has 433645 (97.4%) missing valuesMissing
MARJSMOK has 433622 (97.4%) missing valuesMissing
MARJVAPE has 433629 (97.4%) missing valuesMissing
MAXDRNKS has 235721 (53.0%) missing valuesMissing
MENTCIGS has 440138 (98.9%) missing valuesMissing
MENTECIG has 442968 (99.5%) missing valuesMissing
MSCODE has 351246 (78.9%) missing valuesMissing
NOBCUSE8 has 441970 (99.3%) missing valuesMissing
NUMADULT has 349100 (78.4%) missing valuesMissing
NUMHHOL4 has 349083 (78.4%) missing valuesMissing
NUMMEN has 394702 (88.7%) missing valuesMissing
NUMPHON4 has 438189 (98.4%) missing valuesMissing
NUMWOMEN has 394699 (88.7%) missing valuesMissing
PCPSARS2 has 441196 (99.1%) missing valuesMissing
PCSTALK1 has 438364 (98.5%) missing valuesMissing
PDIABTS1 has 304884 (68.5%) missing valuesMissing
PFPPRVN4 has 430451 (96.7%) missing valuesMissing
PNEUVAC4 has 44732 (10.0%) missing valuesMissing
POORHLTH has 189386 (42.5%) missing valuesMissing
PREDIAB2 has 304910 (68.5%) missing valuesMissing
PREGNANT has 366114 (82.2%) missing valuesMissing
PSASUGST has 440738 (99.0%) missing valuesMissing
PSATEST1 has 437952 (98.4%) missing valuesMissing
PSATIME1 has 441186 (99.1%) missing valuesMissing
PVTRESD1 has 349082 (78.4%) missing valuesMissing
PVTRESD3 has 96058 (21.6%) missing valuesMissing
RCSGEND1 has 386144 (86.7%) missing valuesMissing
RCSRLTN2 has 386658 (86.9%) missing valuesMissing
RCSXBRTH has 441669 (99.2%) missing valuesMissing
RESPSLCT has 392879 (88.3%) missing valuesMissing
RRATWRK2 has 362095 (81.3%) missing valuesMissing
RRCLASS3 has 283394 (63.7%) missing valuesMissing
RRCOGNT2 has 283788 (63.8%) missing valuesMissing
RRHCARE4 has 284624 (63.9%) missing valuesMissing
RRPHYSM2 has 284942 (64.0%) missing valuesMissing
RRTREAT has 284167 (63.8%) missing valuesMissing
SAFETIME has 96051 (21.6%) missing valuesMissing
SDHBILLS has 192610 (43.3%) missing valuesMissing
SDHEMPLY has 191617 (43.0%) missing valuesMissing
SDHFOOD1 has 192303 (43.2%) missing valuesMissing
SDHISOLT has 191342 (43.0%) missing valuesMissing
SDHSTRE1 has 193921 (43.6%) missing valuesMissing
SDHTRNSP has 193189 (43.4%) missing valuesMissing
SDHUTILS has 192853 (43.3%) missing valuesMissing
SDNATES1 has 433770 (97.4%) missing valuesMissing
SHINGLE2 has 430395 (96.7%) missing valuesMissing
SIGMTES1 has 413769 (93.0%) missing valuesMissing
SMALSTOL has 383456 (86.1%) missing valuesMissing
SMOKDAY2 has 281079 (63.1%) missing valuesMissing
SMOKE100 has 31777 (7.1%) missing valuesMissing
SOFEMALE has 305502 (68.6%) missing valuesMissing
SOMALE has 321100 (72.1%) missing valuesMissing
STATERE1 has 349082 (78.4%) missing valuesMissing
STOLTEST has 395758 (88.9%) missing valuesMissing
STOOLDN2 has 383730 (86.2%) missing valuesMissing
STOPSMK2 has 426243 (95.8%) missing valuesMissing
TETANUS1 has 45383 (10.2%) missing valuesMissing
TOLDCFS has 445132 (100.0%) missing valuesMissing
TRNSGNDR has 181571 (40.8%) missing valuesMissing
TYPCNTR9 has 433762 (97.4%) missing valuesMissing
USEMRJN4 has 440126 (98.9%) missing valuesMissing
USENOW3 has 32600 (7.3%) missing valuesMissing
VCLNTES2 has 436153 (98.0%) missing valuesMissing
VIRCOLO1 has 383265 (86.1%) missing valuesMissing
WEIGHT2 has 15901 (3.6%) missing valuesMissing
WHEREGET has 435358 (97.8%) missing valuesMissing
WORKCFS has 445132 (100.0%) missing valuesMissing
WTKG3 has 42078 (9.5%) missing valuesMissing
NUMWOMEN is highly skewed (γ1 = 41.6198957)Skewed
HAVECFS is an unsupported type, check if it needs cleaning or further analysisUnsupported
TOLDCFS is an unsupported type, check if it needs cleaning or further analysisUnsupported
WORKCFS is an unsupported type, check if it needs cleaning or further analysisUnsupported
DROCDY4_ has 187667 (42.2%) zerosZeros

Reproduction

Analysis started2024-05-29 00:19:47.338785
Analysis finished2024-05-29 00:20:18.964903
Duration31.63 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

ACEADNED
Categorical

IMBALANCE  MISSING 

Distinct7
Distinct (%)< 0.1%
Missing397375
Missing (%)89.3%
Memory size435.2 KiB
5.0
38832 
4.0
5211 
3.0
 
1388
9.0
 
796
1.0
 
726
Other values (2)
 
804

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row5.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 38832
 
8.7%
4.0 5211
 
1.2%
3.0 1388
 
0.3%
9.0 796
 
0.2%
1.0 726
 
0.2%
2.0 641
 
0.1%
7.0 163
 
< 0.1%
(Missing) 397375
89.3%

Common Values (Plot)

2024-05-29T00:20:19.249496image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEADSAF
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing397311
Missing (%)89.3%
Memory size435.2 KiB
5.0
33559 
4.0
7779 
3.0
 
2496
1.0
 
1721
2.0
 
1169
Other values (2)
 
1097

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row5.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 33559
 
7.5%
4.0 7779
 
1.7%
3.0 2496
 
0.6%
1.0 1721
 
0.4%
2.0 1169
 
0.3%
9.0 846
 
0.2%
7.0 251
 
0.1%
(Missing) 397311
89.3%

Common Values (Plot)

2024-05-29T00:20:19.554150image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEDEPRS
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing396846
Missing (%)89.2%
Memory size435.0 KiB
2.0
38156 
1.0
8800 
9.0
 
841
7.0
 
489

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 38156
 
8.6%
1.0 8800
 
2.0%
9.0 841
 
0.2%
7.0 489
 
0.1%
(Missing) 396846
89.2%

Common Values (Plot)

2024-05-29T00:20:19.904253image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEDIVRC
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing396960
Missing (%)89.2%
Memory size435.0 KiB
2.0
34367 
1.0
12107 
9.0
 
797
8.0
 
632
7.0
 
269

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 34367
 
7.7%
1.0 12107
 
2.7%
9.0 797
 
0.2%
8.0 632
 
0.1%
7.0 269
 
0.1%
(Missing) 396960
89.2%

Common Values (Plot)

2024-05-29T00:20:20.274232image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEDRINK
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing396901
Missing (%)89.2%
Memory size435.0 KiB
2.0
35692 
1.0
11527 
9.0
 
806
7.0
 
206

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 35692
 
8.0%
1.0 11527
 
2.6%
9.0 806
 
0.2%
7.0 206
 
< 0.1%
(Missing) 396901
89.2%

Common Values (Plot)

2024-05-29T00:20:20.517537image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEDRUGS
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing396912
Missing (%)89.2%
Memory size435.0 KiB
2.0
42448 
1.0
4691 
9.0
 
774
7.0
 
307

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 42448
 
9.5%
1.0 4691
 
1.1%
9.0 774
 
0.2%
7.0 307
 
0.1%
(Missing) 396912
89.2%

Common Values (Plot)

2024-05-29T00:20:20.881360image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEHURT1
Categorical

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing397055
Missing (%)89.2%
Memory size435.0 KiB
1.0
35092 
3.0
8628 
2.0
 
2939
9.0
 
1068
7.0
 
350

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row3.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 35092
 
7.9%
3.0 8628
 
1.9%
2.0 2939
 
0.7%
9.0 1068
 
0.2%
7.0 350
 
0.1%
(Missing) 397055
89.2%

Common Values (Plot)

2024-05-29T00:20:21.159235image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEHVSEX
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing397256
Missing (%)89.2%
Memory size435.0 KiB
1.0
44050 
3.0
 
1584
9.0
 
1199
2.0
 
846
7.0
 
197

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 44050
 
9.9%
3.0 1584
 
0.4%
9.0 1199
 
0.3%
2.0 846
 
0.2%
7.0 197
 
< 0.1%
(Missing) 397256
89.2%

Common Values (Plot)

2024-05-29T00:20:21.406503image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEPRISN
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing396938
Missing (%)89.2%
Memory size435.0 KiB
2.0
43701 
1.0
 
3549
9.0
 
766
7.0
 
178

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 43701
 
9.8%
1.0 3549
 
0.8%
9.0 766
 
0.2%
7.0 178
 
< 0.1%
(Missing) 396938
89.2%

Common Values (Plot)

2024-05-29T00:20:21.784507image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEPUNCH
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing397003
Missing (%)89.2%
Memory size435.0 KiB
1.0
38842 
3.0
5816 
2.0
 
1795
9.0
 
1004
7.0
 
672

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 38842
 
8.7%
3.0 5816
 
1.3%
2.0 1795
 
0.4%
9.0 1004
 
0.2%
7.0 672
 
0.2%
(Missing) 397003
89.2%

Common Values (Plot)

2024-05-29T00:20:22.029395image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACESWEAR
Categorical

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing397103
Missing (%)89.2%
Memory size435.0 KiB
1.0
30266 
3.0
13722 
2.0
 
2393
9.0
 
1075
7.0
 
573

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row7.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 30266
 
6.8%
3.0 13722
 
3.1%
2.0 2393
 
0.5%
9.0 1075
 
0.2%
7.0 573
 
0.1%
(Missing) 397103
89.2%

Common Values (Plot)

2024-05-29T00:20:22.396910image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACETOUCH
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing397160
Missing (%)89.2%
Memory size435.0 KiB
1.0
40941 
3.0
 
3677
2.0
 
1940
9.0
 
1212
7.0
 
202

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 40941
 
9.2%
3.0 3677
 
0.8%
2.0 1940
 
0.4%
9.0 1212
 
0.3%
7.0 202
 
< 0.1%
(Missing) 397160
89.2%

Common Values (Plot)

2024-05-29T00:20:22.649035image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACETTHEM
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing397196
Missing (%)89.2%
Memory size435.0 KiB
1.0
42421 
3.0
 
2626
2.0
 
1497
9.0
 
1176
7.0
 
216

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 42421
 
9.5%
3.0 2626
 
0.6%
2.0 1497
 
0.3%
9.0 1176
 
0.3%
7.0 216
 
< 0.1%
(Missing) 397196
89.2%

Common Values (Plot)

2024-05-29T00:20:22.924354image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ADDEPEV3
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Memory size435.0 KiB
2.0
350910 
1.0
91410 
7.0
 
2140
9.0
 
665

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 350910
78.8%
1.0 91410
 
20.5%
7.0 2140
 
0.5%
9.0 665
 
0.1%
(Missing) 7
 
< 0.1%

Common Values (Plot)

2024-05-29T00:20:23.247093image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ALCDAY4
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)< 0.1%
Missing40763
Missing (%)9.2%
Infinite0
Infinite (%)0.0%
Mean516.0282811
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:20:23.539032image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile102
Q1202
median230
Q3888
95-th percentile888
Maximum999
Range898
Interquartile range (IQR)686

Descriptive statistics

Standard deviation357.7388423
Coefficient of variation (CV)0.6932543339
Kurtosis-1.947941113
Mean516.0282811
Median Absolute Deviation (MAD)129
Skewness0.05927794549
Sum208665840
Variance127977.0793
MonotonicityNot monotonic
2024-05-29T00:20:23.866728image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
888 187667
42.2%
201 31355
 
7.0%
202 24184
 
5.4%
101 19043
 
4.3%
102 15797
 
3.5%
230 15325
 
3.4%
203 14215
 
3.2%
103 11800
 
2.7%
204 10933
 
2.5%
205 10305
 
2.3%
Other values (33) 63745
 
14.3%
(Missing) 40763
 
9.2%
ValueCountFrequency (%)
101 19043
4.3%
102 15797
3.5%
103 11800
2.7%
104 5987
 
1.3%
105 5765
 
1.3%
ValueCountFrequency (%)
999 2364
 
0.5%
888 187667
42.2%
777 3447
 
0.8%
230 15325
 
3.4%
229 369
 
0.1%

ASBIADVC
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing385687
Missing (%)86.6%
Memory size435.0 KiB
2.0
46083 
1.0
10537 
7.0
 
2529
9.0
 
296

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 46083
 
10.4%
1.0 10537
 
2.4%
7.0 2529
 
0.6%
9.0 296
 
0.1%
(Missing) 385687
86.6%

Common Values (Plot)

2024-05-29T00:20:24.151839image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ASBIALCH
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing384190
Missing (%)86.3%
Memory size435.0 KiB
1.0
44565 
2.0
11430 
7.0
4766 
9.0
 
181

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 44565
 
10.0%
2.0 11430
 
2.6%
7.0 4766
 
1.1%
9.0 181
 
< 0.1%
(Missing) 384190
86.3%

Common Values (Plot)

2024-05-29T00:20:24.572378image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ASBIBING
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing384404
Missing (%)86.4%
Memory size435.0 KiB
2.0
33691 
1.0
15296 
7.0
11469 
9.0
 
272

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 33691
 
7.6%
1.0 15296
 
3.4%
7.0 11469
 
2.6%
9.0 272
 
0.1%
(Missing) 384404
86.4%

Common Values (Plot)

2024-05-29T00:20:25.061938image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ASBIDRNK
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing384292
Missing (%)86.3%
Memory size435.0 KiB
1.0
39018 
2.0
16743 
7.0
4865 
9.0
 
214

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 39018
 
8.8%
2.0 16743
 
3.8%
7.0 4865
 
1.1%
9.0 214
 
< 0.1%
(Missing) 384292
86.3%

Common Values (Plot)

2024-05-29T00:20:25.485807image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ASBIRDUC
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing398512
Missing (%)89.5%
Memory size435.0 KiB
2.0
42656 
1.0
 
3288
7.0
 
504
9.0
 
172

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 42656
 
9.6%
1.0 3288
 
0.7%
7.0 504
 
0.1%
9.0 172
 
< 0.1%
(Missing) 398512
89.5%

Common Values (Plot)

2024-05-29T00:20:25.882605image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ASTHMA3
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size435.0 KiB
2.0
376665 
1.0
66694 
7.0
 
1494
9.0
 
277

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 376665
84.6%
1.0 66694
 
15.0%
7.0 1494
 
0.3%
9.0 277
 
0.1%
(Missing) 2
 
< 0.1%

Common Values (Plot)

2024-05-29T00:20:26.362243image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ASTHNOW
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing378438
Missing (%)85.0%
Memory size435.0 KiB
1.0
45659 
2.0
18948 
7.0
 
2054
9.0
 
33

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 45659
 
10.3%
2.0 18948
 
4.3%
7.0 2054
 
0.5%
9.0 33
 
< 0.1%
(Missing) 378438
85.0%

Common Values (Plot)

2024-05-29T00:20:26.814142image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

AVEDRNK3
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)< 0.1%
Missing234769
Missing (%)52.7%
Infinite0
Infinite (%)0.0%
Mean3.702737649
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:20:27.204709image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation11.01639463
Coefficient of variation (CV)2.975202586
Kurtosis48.5582802
Mean3.702737649
Median Absolute Deviation (MAD)1
Skewness6.967434854
Sum778919
Variance121.3609506
MonotonicityNot monotonic
2024-05-29T00:20:27.748834image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 89425
 
20.1%
2 63742
 
14.3%
3 25342
 
5.7%
4 11082
 
2.5%
5 5821
 
1.3%
6 5105
 
1.1%
77 2143
 
0.5%
10 1486
 
0.3%
8 1475
 
0.3%
88 1165
 
0.3%
Other values (47) 3577
 
0.8%
(Missing) 234769
52.7%
ValueCountFrequency (%)
1 89425
20.1%
2 63742
14.3%
3 25342
 
5.7%
4 11082
 
2.5%
5 5821
 
1.3%
ValueCountFrequency (%)
99 460
 
0.1%
88 1165
0.3%
77 2143
0.5%
76 17
 
< 0.1%
75 4
 
< 0.1%

BCPREFER
Categorical

MISSING 

Distinct16
Distinct (%)0.1%
Missing430605
Missing (%)96.7%
Memory size435.5 KiB
6.0
2761 
4.0
2431 
2.0
1520 
13.0
1385 
7.0
1252 
Other values (11)
5178 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6.0
2nd row7.0
3rd row1.0
4th row99.0
5th row1.0

Common Values

ValueCountFrequency (%)
6.0 2761
 
0.6%
4.0 2431
 
0.5%
2.0 1520
 
0.3%
13.0 1385
 
0.3%
7.0 1252
 
0.3%
1.0 1227
 
0.3%
14.0 1187
 
0.3%
77.0 587
 
0.1%
5.0 544
 
0.1%
3.0 438
 
0.1%
Other values (6) 1195
 
0.3%
(Missing) 430605
96.7%

BIRTHSEX
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing365705
Missing (%)82.2%
Memory size435.0 KiB
2.0
41456 
1.0
37441 
9.0
 
430
7.0
 
100

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 41456
 
9.3%
1.0 37441
 
8.4%
9.0 430
 
0.1%
7.0 100
 
< 0.1%
(Missing) 365705
82.2%

Common Values (Plot)

2024-05-29T00:20:28.322326image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BLDSTFIT
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing433738
Missing (%)97.4%
Memory size435.0 KiB
1.0
7591 
2.0
2175 
7.0
1597 
9.0
 
31

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7.0
2nd row7.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 7591
 
1.7%
2.0 2175
 
0.5%
7.0 1597
 
0.4%
9.0 31
 
< 0.1%
(Missing) 433738
97.4%

Common Values (Plot)

2024-05-29T00:20:28.827759image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BLIND
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing19855
Missing (%)4.5%
Memory size435.0 KiB
2.0
399910 
1.0
 
23658
7.0
 
1042
9.0
 
667

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 399910
89.8%
1.0 23658
 
5.3%
7.0 1042
 
0.2%
9.0 667
 
0.1%
(Missing) 19855
 
4.5%

Common Values (Plot)

2024-05-29T00:20:29.366817image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BRTHCNT4
Categorical

MISSING 

Distinct15
Distinct (%)0.1%
Missing433791
Missing (%)97.5%
Memory size435.5 KiB
0.0
6820 
7.0
1083 
6.0
 
679
10.0
 
523
4.0
 
501
Other values (10)
1735 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row7.0
3rd row1.0
4th row6.0
5th row10.0

Common Values

ValueCountFrequency (%)
0.0 6820
 
1.5%
7.0 1083
 
0.2%
6.0 679
 
0.2%
10.0 523
 
0.1%
4.0 501
 
0.1%
2.0 406
 
0.1%
99.0 335
 
0.1%
1.0 273
 
0.1%
12.0 241
 
0.1%
77.0 150
 
< 0.1%
Other values (5) 330
 
0.1%
(Missing) 433791
97.5%

CADULT1
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing96052
Missing (%)21.6%
Memory size434.9 KiB
1.0
349080 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 349080
78.4%
(Missing) 96052
 
21.6%

Common Values (Plot)

2024-05-29T00:20:29.873005image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CAGEG
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing394956
Missing (%)88.7%
Memory size435.0 KiB
3.0
14610 
4.0
12294 
2.0
11901 
1.0
11371 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row3.0
3rd row4.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
3.0 14610
 
3.3%
4.0 12294
 
2.8%
2.0 11901
 
2.7%
1.0 11371
 
2.6%
(Missing) 394956
88.7%

Common Values (Plot)

2024-05-29T00:20:30.364733image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CAREGIV1
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing346622
Missing (%)77.9%
Memory size435.0 KiB
2.0
78174 
1.0
19662 
7.0
 
262
9.0
 
235
8.0
 
177

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row8.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 78174
 
17.6%
1.0 19662
 
4.4%
7.0 262
 
0.1%
9.0 235
 
0.1%
8.0 177
 
< 0.1%
(Missing) 346622
77.9%

Common Values (Plot)

2024-05-29T00:20:30.891013image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CASTHDX2
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing394471
Missing (%)88.6%
Memory size435.0 KiB
2.0
42689 
1.0
5338 
9.0
 
1939
7.0
 
695

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row7.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 42689
 
9.6%
1.0 5338
 
1.2%
9.0 1939
 
0.4%
7.0 695
 
0.2%
(Missing) 394471
88.6%

Common Values (Plot)

2024-05-29T00:20:31.389657image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CASTHNO2
Categorical

MISSING 

Distinct4
Distinct (%)0.1%
Missing439804
Missing (%)98.8%
Memory size435.0 KiB
1.0
3455 
2.0
1755 
7.0
 
114
9.0
 
4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 3455
 
0.8%
2.0 1755
 
0.4%
7.0 114
 
< 0.1%
9.0 4
 
< 0.1%
(Missing) 439804
98.8%

Common Values (Plot)

2024-05-29T00:20:31.881981image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CCLGHOUS
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing443807
Missing (%)99.7%
Memory size434.9 KiB
1.0
1325 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 1325
 
0.3%
(Missing) 443807
99.7%

Common Values (Plot)

2024-05-29T00:20:32.359404image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CDASSIST
Categorical

MISSING 

Distinct7
Distinct (%)0.1%
Missing437701
Missing (%)98.3%
Memory size435.2 KiB
5.0
3954 
4.0
1447 
3.0
1354 
1.0
 
304
2.0
 
281
Other values (2)
 
91

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row5.0
4th row4.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 3954
 
0.9%
4.0 1447
 
0.3%
3.0 1354
 
0.3%
1.0 304
 
0.1%
2.0 281
 
0.1%
7.0 78
 
< 0.1%
9.0 13
 
< 0.1%
(Missing) 437701
98.3%

Common Values (Plot)

2024-05-29T00:20:32.849405image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CDDISCUS
Categorical

MISSING 

Distinct4
Distinct (%)0.1%
Missing437732
Missing (%)98.3%
Memory size435.0 KiB
2.0
3862 
1.0
3432 
7.0
 
97
9.0
 
9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 3862
 
0.9%
1.0 3432
 
0.8%
7.0 97
 
< 0.1%
9.0 9
 
< 0.1%
(Missing) 437732
98.3%

Common Values (Plot)

2024-05-29T00:20:33.142907image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CDHELP
Categorical

MISSING 

Distinct7
Distinct (%)0.4%
Missing443199
Missing (%)99.6%
Memory size435.2 KiB
1.0
722 
3.0
465 
2.0
418 
4.0
177 
5.0
130 
Other values (2)
 
21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row1.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 722
 
0.2%
3.0 465
 
0.1%
2.0 418
 
0.1%
4.0 177
 
< 0.1%
5.0 130
 
< 0.1%
7.0 19
 
< 0.1%
9.0 2
 
< 0.1%
(Missing) 443199
99.6%

Common Values (Plot)

2024-05-29T00:20:33.441599image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CDHOUSE
Categorical

MISSING 

Distinct7
Distinct (%)0.1%
Missing437679
Missing (%)98.3%
Memory size435.2 KiB
5.0
3642 
3.0
1650 
4.0
1272 
2.0
 
364
1.0
 
357
Other values (2)
 
168

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row5.0
4th row3.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 3642
 
0.8%
3.0 1650
 
0.4%
4.0 1272
 
0.3%
2.0 364
 
0.1%
1.0 357
 
0.1%
7.0 159
 
< 0.1%
9.0 9
 
< 0.1%
(Missing) 437679
98.3%

Common Values (Plot)

2024-05-29T00:20:33.763284image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CDSOCIAL
Categorical

MISSING 

Distinct7
Distinct (%)0.1%
Missing437717
Missing (%)98.3%
Memory size435.2 KiB
5.0
3726 
4.0
1387 
3.0
1313 
1.0
458 
2.0
410 
Other values (2)
 
121

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row5.0
3rd row5.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 3726
 
0.8%
4.0 1387
 
0.3%
3.0 1313
 
0.3%
1.0 458
 
0.1%
2.0 410
 
0.1%
7.0 106
 
< 0.1%
9.0 15
 
< 0.1%
(Missing) 437717
98.3%

Common Values (Plot)

2024-05-29T00:20:34.094045image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CELLFON5
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing96052
Missing (%)21.6%
Memory size434.9 KiB
1.0
349079 
2.0
 
1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 349079
78.4%
2.0 1
 
< 0.1%
(Missing) 96052
 
21.6%

Common Values (Plot)

2024-05-29T00:20:34.366966image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CELLSEX1
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing96053
Missing (%)21.6%
Memory size435.0 KiB
2.0
174948 
1.0
173639 
3.0
 
328
9.0
 
113
7.0
 
51

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 174948
39.3%
1.0 173639
39.0%
3.0 328
 
0.1%
9.0 113
 
< 0.1%
7.0 51
 
< 0.1%
(Missing) 96053
21.6%

Common Values (Plot)

2024-05-29T00:20:34.631946image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CELPHON1
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing349080
Missing (%)78.4%
Memory size434.9 KiB
2.0
96050 
1.0
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 96050
 
21.6%
1.0 2
 
< 0.1%
(Missing) 349080
78.4%

Common Values (Plot)

2024-05-29T00:20:34.880814image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CERVSCRN
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing224318
Missing (%)50.4%
Memory size435.0 KiB
1.0
135746 
2.0
68997 
7.0
15296 
9.0
 
775

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 135746
30.5%
2.0 68997
 
15.5%
7.0 15296
 
3.4%
9.0 775
 
0.2%
(Missing) 224318
50.4%

Common Values (Plot)

2024-05-29T00:20:35.124890image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CHCCOPD3
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size435.0 KiB
2.0
407257 
1.0
 
35656
7.0
 
1885
9.0
 
332

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 407257
91.5%
1.0 35656
 
8.0%
7.0 1885
 
0.4%
9.0 332
 
0.1%
(Missing) 2
 
< 0.1%

Common Values (Plot)

2024-05-29T00:20:35.394415image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CHCKDNY2
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size435.0 KiB
2.0
422891 
1.0
 
20315
7.0
 
1581
9.0
 
343

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 422891
95.0%
1.0 20315
 
4.6%
7.0 1581
 
0.4%
9.0 343
 
0.1%
(Missing) 2
 
< 0.1%

Common Values (Plot)

2024-05-29T00:20:35.691221image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CHCOCNC1
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Memory size435.0 KiB
2.0
392442 
1.0
50269 
7.0
 
2016
9.0
 
402

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 392442
88.2%
1.0 50269
 
11.3%
7.0 2016
 
0.5%
9.0 402
 
0.1%
(Missing) 3
 
< 0.1%

Common Values (Plot)

2024-05-29T00:20:35.976941image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CHCSCNC1
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size435.0 KiB
2.0
406504 
1.0
 
35485
7.0
 
2822
9.0
 
319

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 406504
91.3%
1.0 35485
 
8.0%
7.0 2822
 
0.6%
9.0 319
 
0.1%
(Missing) 2
 
< 0.1%

Common Values (Plot)

2024-05-29T00:20:36.259967image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CHECKUP1
Categorical

IMBALANCE 

Distinct7
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Memory size435.2 KiB
1.0
350944 
2.0
41919 
3.0
 
24882
4.0
 
19079
7.0
 
5063
Other values (2)
 
3242

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row8.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 350944
78.8%
2.0 41919
 
9.4%
3.0 24882
 
5.6%
4.0 19079
 
4.3%
7.0 5063
 
1.1%
8.0 2509
 
0.6%
9.0 733
 
0.2%
(Missing) 3
 
< 0.1%

Common Values (Plot)

2024-05-29T00:20:36.555941image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CHILDREN
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)< 0.1%
Missing9312
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean66.6529737
Minimum0
Maximum99
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:20:36.827026image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q188
median88
Q388
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.34262432
Coefficient of variation (CV)0.560254438
Kurtosis-0.6590918889
Mean66.6529737
Median Absolute Deviation (MAD)0
Skewness-1.154527893
Sum29048699
Variance1394.471591
MonotonicityNot monotonic
2024-05-29T00:20:37.119074image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
88 321907
72.3%
1 46241
 
10.4%
2 37923
 
8.5%
3 15975
 
3.6%
4 5521
 
1.2%
99 5152
 
1.2%
5 1780
 
0.4%
6 756
 
0.2%
7 261
 
0.1%
8 122
 
< 0.1%
Other values (25) 182
 
< 0.1%
(Missing) 9312
 
2.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 46241
10.4%
2 37923
8.5%
3 15975
 
3.6%
4 5521
 
1.2%
ValueCountFrequency (%)
99 5152
 
1.2%
88 321907
72.3%
82 1
 
< 0.1%
81 1
 
< 0.1%
61 1
 
< 0.1%

CHKHEMO3
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)0.3%
Missing432532
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean11.83301587
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:20:37.400862image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation25.59454888
Coefficient of variation (CV)2.162977651
Kurtosis4.241113744
Mean11.83301587
Median Absolute Deviation (MAD)1
Skewness2.467269892
Sum149096
Variance655.0809322
MonotonicityNot monotonic
2024-05-29T00:20:37.695121image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2 3868
 
0.9%
4 2407
 
0.5%
1 2374
 
0.5%
3 1888
 
0.4%
77 662
 
0.1%
88 561
 
0.1%
6 211
 
< 0.1%
5 150
 
< 0.1%
12 131
 
< 0.1%
98 79
 
< 0.1%
Other values (31) 269
 
0.1%
(Missing) 432532
97.2%
ValueCountFrequency (%)
1 2374
0.5%
2 3868
0.9%
3 1888
0.4%
4 2407
0.5%
5 150
 
< 0.1%
ValueCountFrequency (%)
99 51
 
< 0.1%
98 79
 
< 0.1%
88 561
0.1%
77 662
0.1%
76 51
 
< 0.1%

CIMEMLOS
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing380457
Missing (%)85.5%
Memory size435.0 KiB
2.0
56945 
1.0
7003 
7.0
 
474
9.0
 
253

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 56945
 
12.8%
1.0 7003
 
1.6%
7.0 474
 
0.1%
9.0 253
 
0.1%
(Missing) 380457
85.5%

Common Values (Plot)

2024-05-29T00:20:37.995981image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRAGE
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)0.4%
Missing422567
Missing (%)94.9%
Infinite0
Infinite (%)0.0%
Mean57.76308442
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:20:38.277683image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27
Q147
median59
Q369
95-th percentile98
Maximum99
Range98
Interquartile range (IQR)22

Descriptive statistics

Standard deviation17.95009659
Coefficient of variation (CV)0.3107537758
Kurtosis0.2439092158
Mean57.76308442
Median Absolute Deviation (MAD)11
Skewness-0.02851508422
Sum1303424
Variance322.2059674
MonotonicityNot monotonic
2024-05-29T00:20:38.594163image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 1228
 
0.3%
50 1178
 
0.3%
98 1023
 
0.2%
65 997
 
0.2%
55 930
 
0.2%
70 858
 
0.2%
40 691
 
0.2%
45 665
 
0.1%
62 590
 
0.1%
58 568
 
0.1%
Other values (89) 13837
 
3.1%
(Missing) 422567
94.9%
ValueCountFrequency (%)
1 29
< 0.1%
2 7
 
< 0.1%
3 11
 
< 0.1%
4 5
 
< 0.1%
5 10
 
< 0.1%
ValueCountFrequency (%)
99 129
 
< 0.1%
98 1023
0.2%
97 4
 
< 0.1%
96 1
 
< 0.1%
95 2
 
< 0.1%

CNCRDIFF
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing421733
Missing (%)94.7%
Memory size435.0 KiB
1.0
17566 
2.0
4070 
3.0
 
947
7.0
 
425
9.0
 
391

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 17566
 
3.9%
2.0 4070
 
0.9%
3.0 947
 
0.2%
7.0 425
 
0.1%
9.0 391
 
0.1%
(Missing) 421733
94.7%

Common Values (Plot)

2024-05-29T00:20:38.895358image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2
Categorical

MISSING 

Distinct32
Distinct (%)0.1%
Missing422588
Missing (%)94.9%
Memory size436.1 KiB
22.0
6252 
5.0
2908 
16.0
2708 
20.0
1826 
23.0
1485 
Other values (27)
7365 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row7.0
3rd row22.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
22.0 6252
 
1.4%
5.0 2908
 
0.7%
16.0 2708
 
0.6%
20.0 1826
 
0.4%
23.0 1485
 
0.3%
30.0 1358
 
0.3%
77.0 804
 
0.2%
7.0 690
 
0.2%
6.0 552
 
0.1%
15.0 460
 
0.1%
Other values (22) 3501
 
0.8%
(Missing) 422588
94.9%

COLGHOUS
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)5.3%
Missing445113
Missing (%)> 99.9%
Memory size434.9 KiB
1.0
19 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 19
 
< 0.1%
(Missing) 445113
> 99.9%

Common Values (Plot)

2024-05-29T00:20:39.147644image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COLGSEX1
Categorical

MISSING 

Distinct2
Distinct (%)9.5%
Missing445111
Missing (%)> 99.9%
Memory size434.9 KiB
2.0
16 
1.0
5 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 16
 
< 0.1%
1.0 5
 
< 0.1%
(Missing) 445111
> 99.9%

Common Values (Plot)

2024-05-29T00:20:39.375252image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COLNCNCR
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing154046
Missing (%)34.6%
Memory size435.0 KiB
2.0
219810 
1.0
61981 
7.0
 
7848
9.0
 
1447

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 219810
49.4%
1.0 61981
 
13.9%
7.0 7848
 
1.8%
9.0 1447
 
0.3%
(Missing) 154046
34.6%

Common Values (Plot)

2024-05-29T00:20:39.643182image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COLNSIGM
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing232309
Missing (%)52.2%
Memory size435.0 KiB
1.0
177396 
3.0
30252 
7.0
 
3455
2.0
 
1309
9.0
 
411

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 177396
39.9%
3.0 30252
 
6.8%
7.0 3455
 
0.8%
2.0 1309
 
0.3%
9.0 411
 
0.1%
(Missing) 232309
52.2%

Common Values (Plot)

2024-05-29T00:20:39.916778image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COLNTES1
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing237848
Missing (%)53.4%
Memory size435.2 KiB
3.0
70204 
1.0
41127 
4.0
40407 
2.0
31256 
5.0
20071 
Other values (2)
 
4219

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row4.0
3rd row3.0
4th row3.0
5th row4.0

Common Values

ValueCountFrequency (%)
3.0 70204
 
15.8%
1.0 41127
 
9.2%
4.0 40407
 
9.1%
2.0 31256
 
7.0%
5.0 20071
 
4.5%
7.0 3919
 
0.9%
9.0 300
 
0.1%
(Missing) 237848
53.4%

Common Values (Plot)

2024-05-29T00:20:40.234782image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COPDBRTH
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing437883
Missing (%)98.4%
Memory size435.0 KiB
2.0
5305 
1.0
1899 
7.0
 
35
9.0
 
10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 5305
 
1.2%
1.0 1899
 
0.4%
7.0 35
 
< 0.1%
9.0 10
 
< 0.1%
(Missing) 437883
98.4%

Common Values (Plot)

2024-05-29T00:20:40.539552image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COPDBTST
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing437900
Missing (%)98.4%
Memory size435.0 KiB
2.0
4954 
1.0
2171 
7.0
 
103
9.0
 
4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 4954
 
1.1%
1.0 2171
 
0.5%
7.0 103
 
< 0.1%
9.0 4
 
< 0.1%
(Missing) 437900
98.4%

Common Values (Plot)

2024-05-29T00:20:40.835689image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COPDCOGH
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing437863
Missing (%)98.4%
Memory size435.0 KiB
2.0
6296 
1.0
939 
7.0
 
25
9.0
 
9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 6296
 
1.4%
1.0 939
 
0.2%
7.0 25
 
< 0.1%
9.0 9
 
< 0.1%
(Missing) 437863
98.4%

Common Values (Plot)

2024-05-29T00:20:41.115496image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COPDFLEM
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing437870
Missing (%)98.4%
Memory size435.0 KiB
2.0
6303 
1.0
925 
7.0
 
26
9.0
 
8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 6303
 
1.4%
1.0 925
 
0.2%
7.0 26
 
< 0.1%
9.0 8
 
< 0.1%
(Missing) 437870
98.4%

Common Values (Plot)

2024-05-29T00:20:41.373104image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COPDSMOK
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)1.0%
Missing437917
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean61.75190575
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:20:41.631047image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q125
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)63

Descriptive statistics

Standard deviation33.83069917
Coefficient of variation (CV)0.5478486657
Kurtosis-1.348977113
Mean61.75190575
Median Absolute Deviation (MAD)0
Skewness-0.6601206059
Sum445540
Variance1144.516206
MonotonicityNot monotonic
2024-05-29T00:20:41.964139image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 4126
 
0.9%
20 283
 
0.1%
77 232
 
0.1%
30 209
 
< 0.1%
10 204
 
< 0.1%
40 166
 
< 0.1%
15 153
 
< 0.1%
25 142
 
< 0.1%
1 118
 
< 0.1%
2 112
 
< 0.1%
Other values (65) 1470
 
0.3%
(Missing) 437917
98.4%
ValueCountFrequency (%)
1 118
< 0.1%
2 112
< 0.1%
3 103
< 0.1%
4 88
< 0.1%
5 110
< 0.1%
ValueCountFrequency (%)
99 49
 
< 0.1%
88 4126
0.9%
77 232
 
0.1%
76 2
 
< 0.1%
75 2
 
< 0.1%

COVACGET
Categorical

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing414837
Missing (%)93.2%
Memory size435.0 KiB
4.0
18369 
3.0
5345 
7.0
4483 
2.0
 
1239
1.0
 
664

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row4.0
3rd row7.0
4th row4.0
5th row2.0

Common Values

ValueCountFrequency (%)
4.0 18369
 
4.1%
3.0 5345
 
1.2%
7.0 4483
 
1.0%
2.0 1239
 
0.3%
1.0 664
 
0.1%
9.0 195
 
< 0.1%
(Missing) 414837
93.2%

Common Values (Plot)

2024-05-29T00:20:42.286748image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDFS1
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)< 0.1%
Missing321193
Missing (%)72.2%
Infinite0
Infinite (%)0.0%
Mean192039.003
Minimum12019
Maximum999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:20:42.564734image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum12019
5-th percentile12021
Q132021
median42021
Q3112021
95-th percentile777777
Maximum999999
Range987980
Interquartile range (IQR)80000

Descriptive statistics

Standard deviation295831.4868
Coefficient of variation (CV)1.540476061
Kurtosis0.2368009596
Mean192039.003
Median Absolute Deviation (MAD)20000
Skewness1.474861659
Sum2.380112199 × 1010
Variance8.751626861 × 1010
MonotonicityNot monotonic
2024-05-29T00:20:42.921393image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32021 22150
 
5.0%
777777 21666
 
4.9%
22021 15004
 
3.4%
42021 14920
 
3.4%
12021 10859
 
2.4%
52021 5951
 
1.3%
62021 3411
 
0.8%
122020 3209
 
0.7%
82021 3011
 
0.7%
92021 2651
 
0.6%
Other values (45) 21107
 
4.7%
(Missing) 321193
72.2%
ValueCountFrequency (%)
12019 6
 
< 0.1%
12020 701
 
0.2%
12021 10859
2.4%
12022 1042
 
0.2%
12023 1
 
< 0.1%
ValueCountFrequency (%)
999999 342
 
0.1%
992020 2
 
< 0.1%
777777 21666
4.9%
772022 116
 
< 0.1%
772021 2369
 
0.5%

COVIDINT
Categorical

MISSING 

Distinct5
Distinct (%)0.1%
Missing436735
Missing (%)98.1%
Memory size435.0 KiB
3.0
3809 
1.0
2114 
2.0
1869 
7.0
445 
9.0
 
160

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 3809
 
0.9%
1.0 2114
 
0.5%
2.0 1869
 
0.4%
7.0 445
 
0.1%
9.0 160
 
< 0.1%
(Missing) 436735
98.1%

Common Values (Plot)

2024-05-29T00:20:43.393303image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDNU1
Categorical

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing320385
Missing (%)72.0%
Memory size435.0 KiB
3.0
57488 
2.0
36926 
4.0
23051 
1.0
6712 
7.0
 
446

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row3.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 57488
 
12.9%
2.0 36926
 
8.3%
4.0 23051
 
5.2%
1.0 6712
 
1.5%
7.0 446
 
0.1%
9.0 124
 
< 0.1%
(Missing) 320385
72.0%

Common Values (Plot)

2024-05-29T00:20:43.786342image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDPOS
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing49235
Missing (%)11.1%
Memory size435.0 KiB
2.0
270055 
1.0
110877 
3.0
 
13436
9.0
 
882
7.0
 
647

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 270055
60.7%
1.0 110877
24.9%
3.0 13436
 
3.0%
9.0 882
 
0.2%
7.0 647
 
0.1%
(Missing) 49235
 
11.1%

Common Values (Plot)

2024-05-29T00:20:44.162755image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDPRM
Categorical

MISSING 

Distinct13
Distinct (%)< 0.1%
Missing418417
Missing (%)94.0%
Memory size435.5 KiB
1.0
7072 
3.0
4772 
10.0
4234 
2.0
2564 
11.0
2511 
Other values (8)
5562 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9.0
2nd row1.0
3rd row1.0
4th row77.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 7072
 
1.6%
3.0 4772
 
1.1%
10.0 4234
 
1.0%
2.0 2564
 
0.6%
11.0 2511
 
0.6%
4.0 1378
 
0.3%
9.0 1353
 
0.3%
77.0 1004
 
0.2%
5.0 724
 
0.2%
6.0 409
 
0.1%
Other values (3) 694
 
0.2%
(Missing) 418417
94.0%

COVIDSE1
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)< 0.1%
Missing328043
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean220382.7284
Minimum12020
Maximum999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:20:44.640776image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum12020
5-th percentile22021
Q132021
median52021
Q3122021
95-th percentile777777
Maximum999999
Range987979
Interquartile range (IQR)90000

Descriptive statistics

Standard deviation307316.1942
Coefficient of variation (CV)1.394465875
Kurtosis-0.3386814925
Mean220382.7284
Median Absolute Deviation (MAD)30000
Skewness1.267662709
Sum2.580439328 × 1010
Variance9.444324321 × 1010
MonotonicityNot monotonic
2024-05-29T00:20:45.105302image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
777777 23613
 
5.3%
42021 16420
 
3.7%
32021 13694
 
3.1%
52021 10245
 
2.3%
22021 8825
 
2.0%
62021 5768
 
1.3%
102021 4070
 
0.9%
92021 3888
 
0.9%
112021 3594
 
0.8%
82021 3421
 
0.8%
Other values (45) 23551
 
5.3%
(Missing) 328043
73.7%
ValueCountFrequency (%)
12020 57
 
< 0.1%
12021 3142
0.7%
12022 1876
0.4%
12023 4
 
< 0.1%
22019 3
 
< 0.1%
ValueCountFrequency (%)
999999 407
 
0.1%
992020 1
 
< 0.1%
777777 23613
5.3%
772023 1
 
< 0.1%
772022 183
 
< 0.1%

COVIDSMP
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing320933
Missing (%)72.1%
Memory size435.0 KiB
2.0
94596 
1.0
26783 
7.0
 
2710
9.0
 
110

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row2.0
5th row7.0

Common Values

ValueCountFrequency (%)
2.0 94596
 
21.3%
1.0 26783
 
6.0%
7.0 2710
 
0.6%
9.0 110
 
< 0.1%
(Missing) 320933
72.1%

Common Values (Plot)

2024-05-29T00:20:45.642211image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDVA1
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing292089
Missing (%)65.6%
Memory size435.0 KiB
1.0
124818 
2.0
27011 
9.0
 
895
7.0
 
319

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 124818
28.0%
2.0 27011
 
6.1%
9.0 895
 
0.2%
7.0 319
 
0.1%
(Missing) 292089
65.6%

Common Values (Plot)

2024-05-29T00:20:46.041797image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CPDEMO1C
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing2827
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.379593267
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:20:46.401000image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.445597564
Coefficient of variation (CV)1.047843302
Kurtosis17.76395416
Mean1.379593267
Median Absolute Deviation (MAD)0
Skewness4.341178734
Sum610201
Variance2.089752317
MonotonicityNot monotonic
2024-05-29T00:20:46.860626image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 391754
88.0%
2 28165
 
6.3%
8 12706
 
2.9%
9 4410
 
1.0%
3 2958
 
0.7%
4 1042
 
0.2%
7 513
 
0.1%
5 396
 
0.1%
6 361
 
0.1%
(Missing) 2827
 
0.6%
ValueCountFrequency (%)
1 391754
88.0%
2 28165
 
6.3%
3 2958
 
0.7%
4 1042
 
0.2%
5 396
 
0.1%
ValueCountFrequency (%)
9 4410
 
1.0%
8 12706
2.9%
7 513
 
0.1%
6 361
 
0.1%
5 396
 
0.1%

CRGVALZD
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing427832
Missing (%)96.1%
Memory size435.0 KiB
2.0
14257 
1.0
2499 
7.0
 
384
9.0
 
160

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 14257
 
3.2%
1.0 2499
 
0.6%
7.0 384
 
0.1%
9.0 160
 
< 0.1%
(Missing) 427832
96.1%

Common Values (Plot)

2024-05-29T00:20:47.322183image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVEXPT
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing366598
Missing (%)82.4%
Memory size435.0 KiB
2.0
62780 
1.0
10258 
7.0
 
5214
9.0
 
282

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row7.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 62780
 
14.1%
1.0 10258
 
2.3%
7.0 5214
 
1.2%
9.0 282
 
0.1%
(Missing) 366598
82.4%

Common Values (Plot)

2024-05-29T00:20:47.770856image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVHOU1
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing425772
Missing (%)95.7%
Memory size435.0 KiB
1.0
15397 
2.0
3801 
9.0
 
118
7.0
 
44

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 15397
 
3.5%
2.0 3801
 
0.9%
9.0 118
 
< 0.1%
7.0 44
 
< 0.1%
(Missing) 425772
95.7%

Common Values (Plot)

2024-05-29T00:20:48.298428image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVHRS1
Categorical

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing425599
Missing (%)95.6%
Memory size435.0 KiB
1.0
9379 
4.0
3696 
2.0
2656 
3.0
2137 
7.0
1433 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row1.0
4th row4.0
5th row4.0

Common Values

ValueCountFrequency (%)
1.0 9379
 
2.1%
4.0 3696
 
0.8%
2.0 2656
 
0.6%
3.0 2137
 
0.5%
7.0 1433
 
0.3%
9.0 232
 
0.1%
(Missing) 425599
95.6%

Common Values (Plot)

2024-05-29T00:20:48.771218image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVLNG1
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing425549
Missing (%)95.6%
Memory size435.2 KiB
5.0
5987 
4.0
4194 
3.0
3496 
1.0
3023 
2.0
2437 
Other values (2)
 
446

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row3.0
3rd row2.0
4th row5.0
5th row4.0

Common Values

ValueCountFrequency (%)
5.0 5987
 
1.3%
4.0 4194
 
0.9%
3.0 3496
 
0.8%
1.0 3023
 
0.7%
2.0 2437
 
0.5%
7.0 322
 
0.1%
9.0 124
 
< 0.1%
(Missing) 425549
95.6%

Common Values (Plot)

2024-05-29T00:20:49.291833image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPER1
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing425732
Missing (%)95.6%
Memory size435.0 KiB
2.0
9750 
1.0
9476 
9.0
 
118
7.0
 
56

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 9750
 
2.2%
1.0 9476
 
2.1%
9.0 118
 
< 0.1%
7.0 56
 
< 0.1%
(Missing) 425732
95.6%

Common Values (Plot)

2024-05-29T00:20:49.787653image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPRB3
Categorical

MISSING 

Distinct17
Distinct (%)0.1%
Missing425660
Missing (%)95.6%
Memory size435.5 KiB
15.0
5257 
14.0
2487 
5.0
2133 
8.0
1488 
3.0
1483 
Other values (12)
6624 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13.0
2nd row3.0
3rd row13.0
4th row15.0
5th row5.0

Common Values

ValueCountFrequency (%)
15.0 5257
 
1.2%
14.0 2487
 
0.6%
5.0 2133
 
0.5%
8.0 1488
 
0.3%
3.0 1483
 
0.3%
13.0 1154
 
0.3%
6.0 900
 
0.2%
10.0 837
 
0.2%
7.0 801
 
0.2%
4.0 661
 
0.1%
Other values (7) 2271
 
0.5%
(Missing) 425660
95.6%

CRGVREL4
Categorical

MISSING 

Distinct17
Distinct (%)0.1%
Missing425498
Missing (%)95.6%
Memory size435.5 KiB
1.0
3986 
15.0
3002 
6.0
2243 
5.0
1968 
7.0
1904 
Other values (12)
6531 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8.0
2nd row10.0
3rd row6.0
4th row7.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 3986
 
0.9%
15.0 3002
 
0.7%
6.0 2243
 
0.5%
5.0 1968
 
0.4%
7.0 1904
 
0.4%
2.0 1463
 
0.3%
14.0 1160
 
0.3%
10.0 833
 
0.2%
9.0 684
 
0.2%
3.0 668
 
0.2%
Other values (7) 1723
 
0.4%
(Missing) 425498
95.6%

CRVCLCNC
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing309555
Missing (%)69.5%
Memory size435.2 KiB
1.0
40738 
5.0
35493 
2.0
23226 
3.0
15530 
4.0
14326 
Other values (2)
6264 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row3.0
3rd row5.0
4th row3.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 40738
 
9.2%
5.0 35493
 
8.0%
2.0 23226
 
5.2%
3.0 15530
 
3.5%
4.0 14326
 
3.2%
7.0 5863
 
1.3%
9.0 401
 
0.1%
(Missing) 309555
69.5%

Common Values (Plot)

2024-05-29T00:20:50.336845image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRVCLHPV
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing309960
Missing (%)69.6%
Memory size435.0 KiB
2.0
48659 
1.0
45940 
7.0
40188 
9.0
 
385

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7.0
2nd row2.0
3rd row7.0
4th row7.0
5th row7.0

Common Values

ValueCountFrequency (%)
2.0 48659
 
10.9%
1.0 45940
 
10.3%
7.0 40188
 
9.0%
9.0 385
 
0.1%
(Missing) 309960
69.6%

Common Values (Plot)

2024-05-29T00:20:50.785783image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRVCLPAP
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing309745
Missing (%)69.6%
Memory size435.0 KiB
1.0
123657 
2.0
 
8131
7.0
 
3332
9.0
 
267

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 123657
 
27.8%
2.0 8131
 
1.8%
7.0 3332
 
0.7%
9.0 267
 
0.1%
(Missing) 309745
69.6%

Common Values (Plot)

2024-05-29T00:20:51.302411image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVCLIN
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing435403
Missing (%)97.8%
Memory size435.0 KiB
2.0
9109 
1.0
 
480
7.0
 
120
9.0
 
20

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 9109
 
2.0%
1.0 480
 
0.1%
7.0 120
 
< 0.1%
9.0 20
 
< 0.1%
(Missing) 435403
97.8%

Common Values (Plot)

2024-05-29T00:20:51.702039image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVCTL2
Categorical

MISSING 

Distinct6
Distinct (%)0.4%
Missing443591
Missing (%)99.7%
Memory size435.0 KiB
1.0
619 
2.0
518 
4.0
217 
3.0
135 
7.0
 
44

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 619
 
0.1%
2.0 518
 
0.1%
4.0 217
 
< 0.1%
3.0 135
 
< 0.1%
7.0 44
 
< 0.1%
9.0 8
 
< 0.1%
(Missing) 443591
99.7%

Common Values (Plot)

2024-05-29T00:20:52.024064image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVDEIN
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing435392
Missing (%)97.8%
Memory size435.0 KiB
2.0
9171 
1.0
 
500
7.0
 
48
9.0
 
21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 9171
 
2.1%
1.0 500
 
0.1%
7.0 48
 
< 0.1%
9.0 21
 
< 0.1%
(Missing) 435392
97.8%

Common Values (Plot)

2024-05-29T00:20:52.332193image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVDOC1
Categorical

MISSING 

Distinct12
Distinct (%)0.1%
Missing435325
Missing (%)97.8%
Memory size435.2 KiB
2.0
3861 
5.0
2717 
10.0
1405 
7.0
481 
1.0
 
348
Other values (7)
995 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 3861
 
0.9%
5.0 2717
 
0.6%
10.0 1405
 
0.3%
7.0 481
 
0.1%
1.0 348
 
0.1%
77.0 251
 
0.1%
4.0 231
 
0.1%
9.0 184
 
< 0.1%
3.0 155
 
< 0.1%
8.0 93
 
< 0.1%
Other values (2) 81
 
< 0.1%
(Missing) 435325
97.8%

CSRVINSR
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing435384
Missing (%)97.8%
Memory size435.0 KiB
1.0
9222 
2.0
 
383
7.0
 
107
9.0
 
36

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 9222
 
2.1%
2.0 383
 
0.1%
7.0 107
 
< 0.1%
9.0 36
 
< 0.1%
(Missing) 435384
97.8%

Common Values (Plot)

2024-05-29T00:20:52.555136image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVINST
Categorical

MISSING 

Distinct4
Distinct (%)0.1%
Missing437882
Missing (%)98.4%
Memory size435.0 KiB
1.0
5303 
2.0
1435 
7.0
 
505
9.0
 
7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7.0
2nd row2.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 5303
 
1.2%
2.0 1435
 
0.3%
7.0 505
 
0.1%
9.0 7
 
< 0.1%
(Missing) 437882
98.4%

Common Values (Plot)

2024-05-29T00:20:52.805645image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVPAIN
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing428035
Missing (%)96.2%
Memory size435.0 KiB
2.0
15275 
1.0
1544 
9.0
 
171
7.0
 
107

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 15275
 
3.4%
1.0 1544
 
0.3%
9.0 171
 
< 0.1%
7.0 107
 
< 0.1%
(Missing) 428035
96.2%

Common Values (Plot)

2024-05-29T00:20:53.112675image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVRTRN
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing435361
Missing (%)97.8%
Memory size435.0 KiB
1.0
7262 
2.0
2274 
7.0
 
192
9.0
 
43

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 7262
 
1.6%
2.0 2274
 
0.5%
7.0 192
 
< 0.1%
9.0 43
 
< 0.1%
(Missing) 435361
97.8%

Common Values (Plot)

2024-05-29T00:20:53.392742image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVSUM
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing435349
Missing (%)97.8%
Memory size435.0 KiB
2.0
4845 
1.0
4248 
7.0
664 
9.0
 
26

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 4845
 
1.1%
1.0 4248
 
1.0%
7.0 664
 
0.1%
9.0 26
 
< 0.1%
(Missing) 435349
97.8%

Common Values (Plot)

2024-05-29T00:20:53.626028image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVTRT3
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing427830
Missing (%)96.1%
Memory size435.2 KiB
2.0
9826 
5.0
4099 
1.0
2179 
4.0
 
616
7.0
 
244
Other values (2)
 
338

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 9826
 
2.2%
5.0 4099
 
0.9%
1.0 2179
 
0.5%
4.0 616
 
0.1%
7.0 244
 
0.1%
9.0 211
 
< 0.1%
3.0 127
 
< 0.1%
(Missing) 427830
96.1%

Common Values (Plot)

2024-05-29T00:20:53.918258image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSTATE1
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing96060
Missing (%)21.6%
Memory size434.9 KiB
1.0
329216 
2.0
 
19856

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 329216
74.0%
2.0 19856
 
4.5%
(Missing) 96060
 
21.6%

Common Values (Plot)

2024-05-29T00:20:54.209495image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CTELENM1
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing349081
Missing (%)78.4%
Memory size434.9 KiB
1.0
96049 
2.0
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 96049
 
21.6%
2.0 2
 
< 0.1%
(Missing) 349081
78.4%

Common Values (Plot)

2024-05-29T00:20:54.423386image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CTELNUM1
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing96051
Missing (%)21.6%
Memory size434.9 KiB
1.0
349079 
2.0
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 349079
78.4%
2.0 2
 
< 0.1%
(Missing) 96051
 
21.6%

Common Values (Plot)

2024-05-29T00:20:54.627231image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CVDCRHD4
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size435.0 KiB
2.0
414176 
1.0
 
26551
7.0
 
4044
9.0
 
359

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 414176
93.0%
1.0 26551
 
6.0%
7.0 4044
 
0.9%
9.0 359
 
0.1%
(Missing) 2
 
< 0.1%

Common Values (Plot)

2024-05-29T00:20:54.872361image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CVDINFR4
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size435.0 KiB
2.0
416959 
1.0
 
25108
7.0
 
2731
9.0
 
330

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 416959
93.7%
1.0 25108
 
5.6%
7.0 2731
 
0.6%
9.0 330
 
0.1%
(Missing) 4
 
< 0.1%

Common Values (Plot)

2024-05-29T00:20:55.164446image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CVDSTRK3
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size435.0 KiB
2.0
424336 
1.0
 
19239
7.0
 
1274
9.0
 
281

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 424336
95.3%
1.0 19239
 
4.3%
7.0 1274
 
0.3%
9.0 281
 
0.1%
(Missing) 2
 
< 0.1%

Common Values (Plot)

2024-05-29T00:20:55.450043image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DEAF
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing18644
Missing (%)4.2%
Memory size435.0 KiB
2.0
385539 
1.0
38946 
7.0
 
1246
9.0
 
757

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 385539
86.6%
1.0 38946
 
8.7%
7.0 1246
 
0.3%
9.0 757
 
0.2%
(Missing) 18644
 
4.2%

Common Values (Plot)

2024-05-29T00:20:55.717802image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DECIDE
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing20986
Missing (%)4.7%
Memory size435.0 KiB
2.0
370792 
1.0
50100 
7.0
 
2266
9.0
 
988

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 370792
83.3%
1.0 50100
 
11.3%
7.0 2266
 
0.5%
9.0 988
 
0.2%
(Missing) 20986
 
4.7%

Common Values (Plot)

2024-05-29T00:20:56.013341image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIABAGE4
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)0.2%
Missing383973
Missing (%)86.3%
Infinite0
Infinite (%)0.0%
Mean52.79144525
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:20:56.282182image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23
Q140
median52
Q362
95-th percentile98
Maximum99
Range98
Interquartile range (IQR)22

Descriptive statistics

Standard deviation18.75845248
Coefficient of variation (CV)0.3553312927
Kurtosis0.6869224418
Mean52.79144525
Median Absolute Deviation (MAD)11
Skewness0.4056869549
Sum3228672
Variance351.8795396
MonotonicityNot monotonic
2024-05-29T00:20:56.591028image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 5493
 
1.2%
60 4341
 
1.0%
98 3706
 
0.8%
55 3589
 
0.8%
40 3567
 
0.8%
45 2901
 
0.7%
65 2420
 
0.5%
35 1581
 
0.4%
70 1562
 
0.4%
30 1548
 
0.3%
Other values (89) 30451
 
6.8%
(Missing) 383973
86.3%
ValueCountFrequency (%)
1 58
< 0.1%
2 40
< 0.1%
3 46
< 0.1%
4 65
< 0.1%
5 85
< 0.1%
ValueCountFrequency (%)
99 330
 
0.1%
98 3706
0.8%
97 1
 
< 0.1%
96 1
 
< 0.1%
95 3
 
< 0.1%

DIABEDU1
Categorical

MISSING 

Distinct9
Distinct (%)0.1%
Missing432532
Missing (%)97.2%
Memory size435.2 KiB
8.0
5953 
6.0
1749 
1.0
1338 
4.0
845 
5.0
792 
Other values (4)
1923 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8.0
2nd row8.0
3rd row8.0
4th row6.0
5th row8.0

Common Values

ValueCountFrequency (%)
8.0 5953
 
1.3%
6.0 1749
 
0.4%
1.0 1338
 
0.3%
4.0 845
 
0.2%
5.0 792
 
0.2%
2.0 724
 
0.2%
7.0 613
 
0.1%
3.0 560
 
0.1%
9.0 26
 
< 0.1%
(Missing) 432532
97.2%

Common Values (Plot)

2024-05-29T00:20:56.934597image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIABETE4
Categorical

IMBALANCE 

Distinct6
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Memory size435.0 KiB
3.0
368722 
1.0
61158 
4.0
 
10329
2.0
 
3836
7.0
 
763

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row3.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 368722
82.8%
1.0 61158
 
13.7%
4.0 10329
 
2.3%
2.0 3836
 
0.9%
7.0 763
 
0.2%
9.0 321
 
0.1%
(Missing) 3
 
< 0.1%

Common Values (Plot)

2024-05-29T00:20:57.259467image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIABEYE1
Categorical

MISSING 

Distinct7
Distinct (%)0.1%
Missing432532
Missing (%)97.2%
Memory size435.2 KiB
2.0
4710 
1.0
2495 
7.0
1633 
3.0
1333 
4.0
1293 
Other values (2)
1136 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row4.0
3rd row1.0
4th row1.0
5th row8.0

Common Values

ValueCountFrequency (%)
2.0 4710
 
1.1%
1.0 2495
 
0.6%
7.0 1633
 
0.4%
3.0 1333
 
0.3%
4.0 1293
 
0.3%
8.0 1126
 
0.3%
9.0 10
 
< 0.1%
(Missing) 432532
97.2%

Common Values (Plot)

2024-05-29T00:21:01.025161image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIABTYPE
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing432532
Missing (%)97.2%
Memory size435.0 KiB
2.0
10559 
1.0
 
1050
7.0
 
966
9.0
 
25

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row7.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 10559
 
2.4%
1.0 1050
 
0.2%
7.0 966
 
0.2%
9.0 25
 
< 0.1%
(Missing) 432532
97.2%

Common Values (Plot)

2024-05-29T00:21:01.331972image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIFFALON
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing23942
Missing (%)5.4%
Memory size435.0 KiB
2.0
387029 
1.0
 
32447
7.0
 
1023
9.0
 
691

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 387029
86.9%
1.0 32447
 
7.3%
7.0 1023
 
0.2%
9.0 691
 
0.2%
(Missing) 23942
 
5.4%

Common Values (Plot)

2024-05-29T00:21:01.633042image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIFFDRES
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing22879
Missing (%)5.1%
Memory size435.0 KiB
2.0
404404 
1.0
 
16813
9.0
 
548
7.0
 
488

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 404404
90.9%
1.0 16813
 
3.8%
9.0 548
 
0.1%
7.0 488
 
0.1%
(Missing) 22879
 
5.1%

Common Values (Plot)

2024-05-29T00:21:01.973321image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIFFWALK
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing22155
Missing (%)5.0%
Memory size435.0 KiB
2.0
353039 
1.0
68081 
7.0
 
1221
9.0
 
636

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 353039
79.3%
1.0 68081
 
15.3%
7.0 1221
 
0.3%
9.0 636
 
0.1%
(Missing) 22155
 
5.0%

Common Values (Plot)

2024-05-29T00:21:02.432310image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DISPCODE
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size434.9 KiB
1100
353271 
1200
91861 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1100
2nd row1100
3rd row1100
4th row1100
5th row1100

Common Values

ValueCountFrequency (%)
1100 353271
79.4%
1200 91861
 
20.6%

Common Values (Plot)

2024-05-29T00:21:02.895064image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DRNK3GE5
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)< 0.1%
Missing235283
Missing (%)52.9%
Infinite0
Infinite (%)0.0%
Mean65.32322289
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:03.224841image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q115
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)73

Descriptive statistics

Standard deviation37.08963775
Coefficient of variation (CV)0.5677864028
Kurtosis-0.8624945043
Mean65.32322289
Median Absolute Deviation (MAD)0
Skewness-1.050732462
Sum13708013
Variance1375.641228
MonotonicityNot monotonic
2024-05-29T00:21:03.758943image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
88 149447
33.6%
1 19447
 
4.4%
2 11416
 
2.6%
3 5305
 
1.2%
4 5276
 
1.2%
5 3981
 
0.9%
77 2940
 
0.7%
30 2310
 
0.5%
10 1912
 
0.4%
6 1490
 
0.3%
Other values (37) 6325
 
1.4%
(Missing) 235283
52.9%
ValueCountFrequency (%)
1 19447
4.4%
2 11416
2.6%
3 5305
 
1.2%
4 5276
 
1.2%
5 3981
 
0.9%
ValueCountFrequency (%)
99 546
 
0.1%
88 149447
33.6%
77 2940
 
0.7%
76 17
 
< 0.1%
75 1
 
< 0.1%

DRNKANY6
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size435.0 KiB
1
210891 
2
187667 
9
43127 
7
 
3447

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 210891
47.4%
2 187667
42.2%
9 43127
 
9.7%
7 3447
 
0.8%

Common Values (Plot)

2024-05-29T00:21:04.287638image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DROCDY4_
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean109.4561295
Minimum0
Maximum900
Zeros187667
Zeros (%)42.2%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:04.790274image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q343
95-th percentile900
Maximum900
Range900
Interquartile range (IQR)43

Descriptive statistics

Standard deviation271.524707
Coefficient of variation (CV)2.480671556
Kurtosis4.535113686
Mean109.4561295
Median Absolute Deviation (MAD)7
Skewness2.539258288
Sum48721988
Variance73725.66652
MonotonicityNot monotonic
2024-05-29T00:21:05.295904image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 187667
42.2%
900 46574
 
10.5%
3 31355
 
7.0%
7 24184
 
5.4%
100 21205
 
4.8%
14 19043
 
4.3%
29 15797
 
3.5%
10 14215
 
3.2%
43 11891
 
2.7%
13 10933
 
2.5%
Other values (26) 62264
 
14.0%
ValueCountFrequency (%)
0 187667
42.2%
3 31355
 
7.0%
7 24184
 
5.4%
10 14215
 
3.2%
13 10933
 
2.5%
ValueCountFrequency (%)
900 46574
10.5%
100 21205
4.8%
97 369
 
0.1%
93 934
 
0.2%
90 291
 
0.1%

ECIGNOW2
Categorical

IMBALANCE  MISSING 

Distinct6
Distinct (%)< 0.1%
Missing33579
Missing (%)7.5%
Memory size435.0 KiB
1.0
311988 
4.0
75368 
3.0
 
11734
2.0
 
10382
9.0
 
1176

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 311988
70.1%
4.0 75368
 
16.9%
3.0 11734
 
2.6%
2.0 10382
 
2.3%
9.0 1176
 
0.3%
7.0 905
 
0.2%
(Missing) 33579
 
7.5%

Common Values (Plot)

2024-05-29T00:21:05.901539image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EDUCA
Categorical

Distinct7
Distinct (%)< 0.1%
Missing5
Missing (%)< 0.1%
Memory size435.2 KiB
6.0
187496 
5.0
120252 
4.0
108990 
3.0
 
16954
2.0
 
8381
Other values (2)
 
3054

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6.0
2nd row4.0
3rd row6.0
4th row4.0
5th row5.0

Common Values

ValueCountFrequency (%)
6.0 187496
42.1%
5.0 120252
27.0%
4.0 108990
24.5%
3.0 16954
 
3.8%
2.0 8381
 
1.9%
9.0 2378
 
0.5%
1.0 676
 
0.2%
(Missing) 5
 
< 0.1%

Common Values (Plot)

2024-05-29T00:21:06.481205image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EMPLOY1
Categorical

MISSING 

Distinct9
Distinct (%)< 0.1%
Missing6196
Missing (%)1.4%
Memory size435.2 KiB
1.0
186004 
7.0
137083 
2.0
38768 
8.0
26737 
5.0
 
17477
Other values (4)
32867 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7.0
2nd row2.0
3rd row7.0
4th row7.0
5th row5.0

Common Values

ValueCountFrequency (%)
1.0 186004
41.8%
7.0 137083
30.8%
2.0 38768
 
8.7%
8.0 26737
 
6.0%
5.0 17477
 
3.9%
6.0 11111
 
2.5%
3.0 8668
 
1.9%
4.0 8044
 
1.8%
9.0 5044
 
1.1%
(Missing) 6196
 
1.4%

Common Values (Plot)

2024-05-29T00:21:07.111192image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EMTSUPRT
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing190991
Missing (%)42.9%
Memory size435.2 KiB
1.0
118012 
2.0
77907 
3.0
33813 
4.0
 
10835
5.0
 
9379
Other values (2)
 
4195

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 118012
26.5%
2.0 77907
17.5%
3.0 33813
 
7.6%
4.0 10835
 
2.4%
5.0 9379
 
2.1%
7.0 2820
 
0.6%
9.0 1375
 
0.3%
(Missing) 190991
42.9%

Common Values (Plot)

2024-05-29T00:21:07.724531image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EXERANY2
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size435.0 KiB
1.0
337559 
2.0
106480 
7.0
 
724
9.0
 
367

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 337559
75.8%
2.0 106480
 
23.9%
7.0 724
 
0.2%
9.0 367
 
0.1%
(Missing) 2
 
< 0.1%

Common Values (Plot)

2024-05-29T00:21:08.317704image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EYEEXAM1
Categorical

MISSING 

Distinct7
Distinct (%)0.1%
Missing432532
Missing (%)97.2%
Memory size435.2 KiB
2.0
5566 
1.0
3287 
3.0
1577 
4.0
1469 
8.0
 
421
Other values (2)
 
280

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
2.0 5566
 
1.3%
1.0 3287
 
0.7%
3.0 1577
 
0.4%
4.0 1469
 
0.3%
8.0 421
 
0.1%
7.0 272
 
0.1%
9.0 8
 
< 0.1%
(Missing) 432532
97.2%

Common Values (Plot)

2024-05-29T00:21:08.860589image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FEETSORE
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing432532
Missing (%)97.2%
Memory size435.0 KiB
2.0
11398 
1.0
1151 
7.0
 
46
9.0
 
5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 11398
 
2.6%
1.0 1151
 
0.3%
7.0 46
 
< 0.1%
9.0 5
 
< 0.1%
(Missing) 432532
97.2%

Common Values (Plot)

2024-05-29T00:21:09.415020image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FIREARM5
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing405332
Missing (%)91.1%
Memory size435.0 KiB
2.0
23428 
1.0
13839 
9.0
2348 
7.0
 
185

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row9.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 23428
 
5.3%
1.0 13839
 
3.1%
9.0 2348
 
0.5%
7.0 185
 
< 0.1%
(Missing) 405332
91.1%

Common Values (Plot)

2024-05-29T00:21:09.954739image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FLSHTMY3
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)< 0.1%
Missing236258
Missing (%)53.1%
Infinite0
Infinite (%)0.0%
Mean156488.1737
Minimum2022
Maximum999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:10.470294image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2022
5-th percentile22022
Q192022
median102021
Q3112021
95-th percentile777777
Maximum999999
Range997977
Interquartile range (IQR)19999

Descriptive statistics

Standard deviation201668.5498
Coefficient of variation (CV)1.288714316
Kurtosis5.911519493
Mean156488.1737
Median Absolute Deviation (MAD)10000
Skewness2.75980277
Sum3.26863108 × 1010
Variance4.067020398 × 1010
MonotonicityNot monotonic
2024-05-29T00:21:10.779038image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
102021 50406
 
11.3%
102022 25382
 
5.7%
112021 25332
 
5.7%
92021 20523
 
4.6%
777777 18541
 
4.2%
92022 13156
 
3.0%
112022 10684
 
2.4%
122021 10235
 
2.3%
12022 8121
 
1.8%
22022 5579
 
1.3%
Other values (22) 20915
 
4.7%
(Missing) 236258
53.1%
ValueCountFrequency (%)
2022 1
 
< 0.1%
12021 100
 
< 0.1%
12022 8121
1.8%
12023 139
 
< 0.1%
22020 1
 
< 0.1%
ValueCountFrequency (%)
999999 605
 
0.1%
997777 1
 
< 0.1%
779999 3
 
< 0.1%
777777 18541
4.2%
122022 2711
 
0.6%

FLUSHOT7
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing43593
Missing (%)9.8%
Memory size435.0 KiB
1.0
209256 
2.0
188755 
7.0
 
2455
9.0
 
1073

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 209256
47.0%
2.0 188755
42.4%
7.0 2455
 
0.6%
9.0 1073
 
0.2%
(Missing) 43593
 
9.8%

Common Values (Plot)

2024-05-29T00:21:11.115207image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FMONTH
Categorical

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size435.2 KiB
11
47701 
8
40098 
9
39566 
10
39133 
12
37124 
Other values (7)
241510 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
11 47701
10.7%
8 40098
9.0%
9 39566
8.9%
10 39133
8.8%
12 37124
8.3%
7 36808
8.3%
6 36176
8.1%
1 36070
8.1%
3 35222
7.9%
4 32865
7.4%
Other values (2) 64369
14.5%

FOODSTMP
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing191893
Missing (%)43.1%
Memory size435.0 KiB
2.0
226638 
1.0
25323 
9.0
 
682
7.0
 
596

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 226638
50.9%
1.0 25323
 
5.7%
9.0 682
 
0.2%
7.0 596
 
0.1%
(Missing) 191893
43.1%

Common Values (Plot)

2024-05-29T00:21:11.385884image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

GENHLTH
Categorical

Distinct7
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Memory size435.2 KiB
2.0
148444 
3.0
143598 
1.0
71878 
4.0
60273 
5.0
19741 
Other values (2)
 
1195

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row1.0
5th row4.0

Common Values

ValueCountFrequency (%)
2.0 148444
33.3%
3.0 143598
32.3%
1.0 71878
16.1%
4.0 60273
13.5%
5.0 19741
 
4.4%
7.0 810
 
0.2%
9.0 385
 
0.1%
(Missing) 3
 
< 0.1%

Common Values (Plot)

2024-05-29T00:21:11.682376image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

GUNLOAD
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing431307
Missing (%)96.9%
Memory size435.0 KiB
2.0
9381 
1.0
4056 
7.0
 
330
9.0
 
58

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row2.0
5th row7.0

Common Values

ValueCountFrequency (%)
2.0 9381
 
2.1%
1.0 4056
 
0.9%
7.0 330
 
0.1%
9.0 58
 
< 0.1%
(Missing) 431307
96.9%

Common Values (Plot)

2024-05-29T00:21:11.991047image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HADHYST2
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing227453
Missing (%)51.1%
Memory size435.0 KiB
2.0
158895 
1.0
57360 
9.0
 
884
7.0
 
540

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 158895
35.7%
1.0 57360
 
12.9%
9.0 884
 
0.2%
7.0 540
 
0.1%
(Missing) 227453
51.1%

Common Values (Plot)

2024-05-29T00:21:12.302873image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HADMAM
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing223319
Missing (%)50.2%
Memory size435.0 KiB
1.0
171601 
2.0
49005 
9.0
 
651
7.0
 
556

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 171601
38.6%
2.0 49005
 
11.0%
9.0 651
 
0.1%
7.0 556
 
0.1%
(Missing) 223319
50.2%

Common Values (Plot)

2024-05-29T00:21:12.581424image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HADSEX
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing425256
Missing (%)95.5%
Memory size435.0 KiB
1.0
14744 
2.0
4231 
9.0
 
835
7.0
 
66

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 14744
 
3.3%
2.0 4231
 
1.0%
9.0 835
 
0.2%
7.0 66
 
< 0.1%
(Missing) 425256
95.5%

Common Values (Plot)

2024-05-29T00:21:12.854137image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HADSIGM4
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing152413
Missing (%)34.2%
Memory size435.0 KiB
1.0
213158 
2.0
76372 
7.0
 
1811
9.0
 
1378

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 213158
47.9%
2.0 76372
 
17.2%
7.0 1811
 
0.4%
9.0 1378
 
0.3%
(Missing) 152413
34.2%

Common Values (Plot)

2024-05-29T00:21:13.144348image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HAVARTH4
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Memory size435.0 KiB
2.0
291351 
1.0
151148 
7.0
 
2264
9.0
 
366

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 291351
65.5%
1.0 151148
34.0%
7.0 2264
 
0.5%
9.0 366
 
0.1%
(Missing) 3
 
< 0.1%

Common Values (Plot)

2024-05-29T00:21:13.403366image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HAVECFS
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing445132
Missing (%)100.0%
Memory size3.4 MiB

HEATTBCO
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing430103
Missing (%)96.6%
Memory size435.0 KiB
2.0
12987 
1.0
1867 
9.0
 
89
7.0
 
86

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 12987
 
2.9%
1.0 1867
 
0.4%
9.0 89
 
< 0.1%
7.0 86
 
< 0.1%
(Missing) 430103
96.6%

Common Values (Plot)

2024-05-29T00:21:13.680565image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HEIGHT3
Real number (ℝ)

MISSING 

Distinct154
Distinct (%)< 0.1%
Missing17055
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean832.094163
Minimum200
Maximum9999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:13.959395image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile501
Q1504
median507
Q3511
95-th percentile604
Maximum9999
Range9799
Interquartile range (IQR)7

Descriptive statistics

Standard deviation1624.462775
Coefficient of variation (CV)1.952258347
Kurtosis23.95962944
Mean832.094163
Median Absolute Deviation (MAD)3
Skewness5.065881006
Sum356200373
Variance2638879.307
MonotonicityNot monotonic
2024-05-29T00:21:14.292369image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
506 36645
 
8.2%
504 35529
 
8.0%
507 33700
 
7.6%
505 32501
 
7.3%
510 31973
 
7.2%
508 30840
 
6.9%
509 28963
 
6.5%
600 28263
 
6.3%
503 27952
 
6.3%
502 26872
 
6.0%
Other values (144) 114839
25.8%
ValueCountFrequency (%)
200 1
 
< 0.1%
209 1
 
< 0.1%
210 1
 
< 0.1%
300 24
< 0.1%
302 4
 
< 0.1%
ValueCountFrequency (%)
9999 7383
1.7%
9752 1
 
< 0.1%
9505 1
 
< 0.1%
9254 2
 
< 0.1%
9253 1
 
< 0.1%

HHADULT
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)< 0.1%
Missing96061
Missing (%)21.6%
Infinite0
Infinite (%)0.0%
Mean3.063239284
Minimum0
Maximum99
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:14.567971image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.110623031
Coefficient of variation (CV)2.974179353
Kurtosis97.63613028
Mean3.063239284
Median Absolute Deviation (MAD)1
Skewness9.867663582
Sum1069288
Variance83.00345201
MonotonicityNot monotonic
2024-05-29T00:21:14.870924image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
2 172161
38.7%
1 86065
19.3%
3 51956
 
11.7%
4 23790
 
5.3%
5 7551
 
1.7%
99 2544
 
0.6%
6 2351
 
0.5%
77 880
 
0.2%
7 784
 
0.2%
8 338
 
0.1%
Other values (26) 651
 
0.1%
(Missing) 96061
21.6%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 86065
19.3%
2 172161
38.7%
3 51956
 
11.7%
4 23790
 
5.3%
ValueCountFrequency (%)
99 2544
0.6%
88 3
 
< 0.1%
77 880
 
0.2%
60 1
 
< 0.1%
55 1
 
< 0.1%

HIVRISK5
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing48461
Missing (%)10.9%
Memory size435.0 KiB
2.0
377324 
1.0
 
17185
9.0
 
1712
7.0
 
450

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 377324
84.8%
1.0 17185
 
3.9%
9.0 1712
 
0.4%
7.0 450
 
0.1%
(Missing) 48461
 
10.9%

Common Values (Plot)

2024-05-29T00:21:15.181916image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HIVTST7
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing46235
Missing (%)10.4%
Memory size435.0 KiB
2.0
249919 
1.0
129086 
7.0
 
18974
9.0
 
918

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 249919
56.1%
1.0 129086
29.0%
7.0 18974
 
4.3%
9.0 918
 
0.2%
(Missing) 46235
 
10.4%

Common Values (Plot)

2024-05-29T00:21:15.441687image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HIVTSTD3
Real number (ℝ)

MISSING 

Distinct500
Distinct (%)0.4%
Missing316269
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean420271.5977
Minimum77
Maximum999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:15.704170image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum77
5-th percentile12022
Q162021
median122022
Q3777777
95-th percentile777777
Maximum999999
Range999922
Interquartile range (IQR)715756

Descriptive statistics

Standard deviation357764.7107
Coefficient of variation (CV)0.8512702563
Kurtosis-1.969669387
Mean420271.5977
Median Absolute Deviation (MAD)110033
Skewness-0.002300183262
Sum5.415745889 × 1010
Variance1.279955882 × 1011
MonotonicityNot monotonic
2024-05-29T00:21:16.023066image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
777777 37389
 
8.4%
772021 2498
 
0.6%
772020 1933
 
0.4%
12022 1920
 
0.4%
22022 1753
 
0.4%
772019 1694
 
0.4%
32022 1677
 
0.4%
112021 1564
 
0.4%
102021 1521
 
0.3%
772018 1496
 
0.3%
Other values (490) 75418
 
16.9%
(Missing) 316269
71.1%
ValueCountFrequency (%)
77 1
 
< 0.1%
11985 71
< 0.1%
11986 10
 
< 0.1%
11987 8
 
< 0.1%
11988 22
 
< 0.1%
ValueCountFrequency (%)
999999 627
 
0.1%
777777 37389
8.4%
772023 2
 
< 0.1%
772022 839
 
0.2%
772021 2498
 
0.6%

HOWLONG
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing274020
Missing (%)61.6%
Memory size435.2 KiB
1.0
97798 
2.0
29149 
5.0
18341 
3.0
12707 
4.0
9843 
Other values (2)
 
3274

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row4.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 97798
 
22.0%
2.0 29149
 
6.5%
5.0 18341
 
4.1%
3.0 12707
 
2.9%
4.0 9843
 
2.2%
7.0 2938
 
0.7%
9.0 336
 
0.1%
(Missing) 274020
61.6%

Common Values (Plot)

2024-05-29T00:21:16.383778image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HPVADSHT
Categorical

MISSING 

Distinct5
Distinct (%)0.3%
Missing443460
Missing (%)99.6%
Memory size435.0 KiB
3.0
632 
2.0
422 
77.0
329 
1.0
284 
99.0
 
5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row77.0
2nd row1.0
3rd row99.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 632
 
0.1%
2.0 422
 
0.1%
77.0 329
 
0.1%
1.0 284
 
0.1%
99.0 5
 
< 0.1%
(Missing) 443460
99.6%

Common Values (Plot)

2024-05-29T00:21:16.699125image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HPVADVC4
Categorical

MISSING 

Distinct5
Distinct (%)0.1%
Missing437786
Missing (%)98.3%
Memory size435.0 KiB
2.0
4797 
1.0
1676 
7.0
851 
9.0
 
14
3.0
 
8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 4797
 
1.1%
1.0 1676
 
0.4%
7.0 851
 
0.2%
9.0 14
 
< 0.1%
3.0 8
 
< 0.1%
(Missing) 437786
98.3%

Common Values (Plot)

2024-05-29T00:21:17.016617image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HTIN4
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)< 0.1%
Missing32476
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean67.05732378
Minimum36
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:17.316508image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile60
Q164
median67
Q370
95-th percentile74
Maximum95
Range59
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.189301444
Coefficient of variation (CV)0.06247343628
Kurtosis-0.05776101801
Mean67.05732378
Median Absolute Deviation (MAD)3
Skewness0.08653571887
Sum27671607
Variance17.55024659
MonotonicityNot monotonic
2024-05-29T00:21:18.071019image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66 36645
 
8.2%
64 35529
 
8.0%
67 33700
 
7.6%
65 32501
 
7.3%
70 31973
 
7.2%
68 30840
 
6.9%
69 28963
 
6.5%
72 28263
 
6.3%
63 27952
 
6.3%
62 26872
 
6.0%
Other values (47) 99418
22.3%
(Missing) 32476
 
7.3%
ValueCountFrequency (%)
36 24
< 0.1%
38 4
 
< 0.1%
39 1
 
< 0.1%
40 1
 
< 0.1%
41 7
 
< 0.1%
ValueCountFrequency (%)
95 5
< 0.1%
93 1
 
< 0.1%
92 4
 
< 0.1%
90 5
< 0.1%
89 11
< 0.1%

HTM4
Real number (ℝ)

MISSING 

Distinct109
Distinct (%)< 0.1%
Missing28652
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean170.2690573
Minimum91
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:18.390461image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum91
5-th percentile152
Q1163
median170
Q3178
95-th percentile188
Maximum241
Range150
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.71774997
Coefficient of variation (CV)0.06294596412
Kurtosis0.1822993492
Mean170.2690573
Median Absolute Deviation (MAD)8
Skewness0.02889953521
Sum70913657
Variance114.8701645
MonotonicityNot monotonic
2024-05-29T00:21:18.693982image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
168 36782
 
8.3%
163 35622
 
8.0%
170 34038
 
7.6%
165 32785
 
7.4%
178 32038
 
7.2%
173 30910
 
6.9%
175 29157
 
6.6%
160 28296
 
6.4%
183 28294
 
6.4%
157 26944
 
6.1%
Other values (99) 101614
22.8%
(Missing) 28652
 
6.4%
ValueCountFrequency (%)
91 24
< 0.1%
92 1
 
< 0.1%
95 1
 
< 0.1%
97 4
 
< 0.1%
99 1
 
< 0.1%
ValueCountFrequency (%)
241 5
< 0.1%
236 1
 
< 0.1%
234 4
 
< 0.1%
229 5
< 0.1%
226 11
< 0.1%

IDATE
Real number (ℝ)

Distinct413
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6807457.502
Minimum1012023
Maximum12312022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:19.016646image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1012023
5-th percentile1182022
Q14052022
median7092022
Q310072022
95-th percentile12152022
Maximum12312022
Range11299999
Interquartile range (IQR)6020000

Descriptive statistics

Standard deviation3497167.053
Coefficient of variation (CV)0.5137258738
Kurtosis-1.220933992
Mean6807457.502
Median Absolute Deviation (MAD)3010000
Skewness-0.04706227935
Sum3.030217173 × 1012
Variance1.22301774 × 1013
MonotonicityNot monotonic
2024-05-29T00:21:19.342392image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12202022 2169
 
0.5%
1032023 2148
 
0.5%
1042023 2099
 
0.5%
12282022 2077
 
0.5%
12212022 2070
 
0.5%
11292022 2008
 
0.5%
1052023 2001
 
0.4%
11302022 1952
 
0.4%
11222022 1946
 
0.4%
12222022 1939
 
0.4%
Other values (403) 424723
95.4%
ValueCountFrequency (%)
1012023 163
 
< 0.1%
1022023 1437
0.3%
1032023 2148
0.5%
1042022 26
 
< 0.1%
1042023 2099
0.5%
ValueCountFrequency (%)
12312022 499
 
0.1%
12302022 1497
0.3%
12292022 1795
0.4%
12282022 2077
0.5%
12272022 1915
0.4%

IDAY
Categorical

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size436.1 KiB
9
 
16666
21
 
16063
16
 
15847
12
 
15732
10
 
15720
Other values (27)
365104 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row2
4th row3
5th row2

Common Values

ValueCountFrequency (%)
9 16666
 
3.7%
21 16063
 
3.6%
16 15847
 
3.6%
12 15732
 
3.5%
10 15720
 
3.5%
22 15694
 
3.5%
15 15631
 
3.5%
14 15592
 
3.5%
20 15302
 
3.4%
19 15278
 
3.4%
Other values (22) 287607
64.6%

IMFVPLA3
Categorical

MISSING 

Distinct13
Distinct (%)0.1%
Missing436089
Missing (%)98.0%
Memory size435.5 KiB
5.0
4389 
1.0
2753 
3.0
 
424
6.0
 
413
8.0
 
410
Other values (8)
654 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6.0
2nd row5.0
3rd row5.0
4th row5.0
5th row1.0

Common Values

ValueCountFrequency (%)
5.0 4389
 
1.0%
1.0 2753
 
0.6%
3.0 424
 
0.1%
6.0 413
 
0.1%
8.0 410
 
0.1%
2.0 232
 
0.1%
9.0 218
 
< 0.1%
10.0 58
 
< 0.1%
77.0 53
 
< 0.1%
4.0 48
 
< 0.1%
Other values (3) 45
 
< 0.1%
(Missing) 436089
98.0%

IMONTH
Categorical

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size435.2 KiB
12
44192 
8
41040 
5
38238 
11
37623 
10
36873 
Other values (7)
247166 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
12 44192
9.9%
8 41040
9.2%
5 38238
8.6%
11 37623
8.5%
10 36873
8.3%
6 36649
8.2%
1 36624
8.2%
9 35969
8.1%
3 35706
8.0%
2 35284
7.9%
Other values (2) 66934
15.0%

INCOME3
Categorical

MISSING 

Distinct13
Distinct (%)< 0.1%
Missing12932
Missing (%)2.9%
Memory size435.5 KiB
7.0
59148 
9.0
50330 
8.0
48436 
99.0
47001 
6.0
46831 
Other values (8)
180454 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row99.0
2nd row5.0
3rd row10.0
4th row77.0
5th row5.0

Common Values

ValueCountFrequency (%)
7.0 59148
13.3%
9.0 50330
11.3%
8.0 48436
10.9%
99.0 47001
10.6%
6.0 46831
10.5%
5.0 42294
9.5%
77.0 36114
8.1%
11.0 23478
 
5.3%
10.0 22553
 
5.1%
4.0 20343
 
4.6%
Other values (3) 35672
8.0%

INSULIN1
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing432532
Missing (%)97.2%
Memory size435.0 KiB
2.0
8368 
1.0
4178 
7.0
 
43
9.0
 
11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 8368
 
1.9%
1.0 4178
 
0.9%
7.0 43
 
< 0.1%
9.0 11
 
< 0.1%
(Missing) 432532
97.2%

Common Values (Plot)

2024-05-29T00:21:19.655338image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IYEAR
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size434.9 KiB
2022
419473 
2023
 
25659

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 419473
94.2%
2023 25659
 
5.8%

Common Values (Plot)

2024-05-29T00:21:19.911123image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LADULT1
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing349082
Missing (%)78.4%
Memory size434.9 KiB
1.0
95885 
2.0
 
165

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 95885
 
21.5%
2.0 165
 
< 0.1%
(Missing) 349082
78.4%

Common Values (Plot)

2024-05-29T00:21:20.135495image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LANDLINE
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing96061
Missing (%)21.6%
Memory size435.0 KiB
2.0
272138 
1.0
75600 
7.0
 
675
9.0
 
658

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 272138
61.1%
1.0 75600
 
17.0%
7.0 675
 
0.2%
9.0 658
 
0.1%
(Missing) 96061
 
21.6%

Common Values (Plot)

2024-05-29T00:21:20.380113image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LANDSEX1
Categorical

IMBALANCE  MISSING 

Distinct6
Distinct (%)< 0.1%
Missing401436
Missing (%)90.2%
Memory size435.0 KiB
2.0
30247 
1.0
13424 
9.0
 
10
3.0
 
7
7.0
 
7

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 30247
 
6.8%
1.0 13424
 
3.0%
9.0 10
 
< 0.1%
3.0 7
 
< 0.1%
7.0 7
 
< 0.1%
0.0 1
 
< 0.1%
(Missing) 401436
90.2%

Common Values (Plot)

2024-05-29T00:21:20.752554image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LASTDEN4
Categorical

Distinct8
Distinct (%)< 0.1%
Missing1363
Missing (%)0.3%
Memory size435.2 KiB
1.0
292408 
2.0
50326 
3.0
46987 
4.0
44828 
7.0
 
4866
Other values (3)
 
4354

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 292408
65.7%
2.0 50326
 
11.3%
3.0 46987
 
10.6%
4.0 44828
 
10.1%
7.0 4866
 
1.1%
8.0 3562
 
0.8%
9.0 788
 
0.2%
5.0 4
 
< 0.1%
(Missing) 1363
 
0.3%

Common Values (Plot)

2024-05-29T00:21:21.306978image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LASTSIG4
Categorical

MISSING 

Distinct7
Distinct (%)0.2%
Missing441658
Missing (%)99.2%
Memory size435.2 KiB
3.0
800 
7.0
694 
1.0
604 
4.0
505 
5.0
449 
Other values (2)
422 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row3.0
4th row1.0
5th row7.0

Common Values

ValueCountFrequency (%)
3.0 800
 
0.2%
7.0 694
 
0.2%
1.0 604
 
0.1%
4.0 505
 
0.1%
5.0 449
 
0.1%
2.0 394
 
0.1%
9.0 28
 
< 0.1%
(Missing) 441658
99.2%

Common Values (Plot)

2024-05-29T00:21:21.837897image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LASTSMK2
Categorical

MISSING 

Distinct10
Distinct (%)< 0.1%
Missing397723
Missing (%)89.3%
Memory size435.2 KiB
7.0
31978 
5.0
5760 
6.0
4494 
4.0
 
1382
1.0
 
1242
Other values (5)
 
2553

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7.0
2nd row7.0
3rd row7.0
4th row7.0
5th row5.0

Common Values

ValueCountFrequency (%)
7.0 31978
 
7.2%
5.0 5760
 
1.3%
6.0 4494
 
1.0%
4.0 1382
 
0.3%
1.0 1242
 
0.3%
2.0 879
 
0.2%
3.0 807
 
0.2%
77.0 441
 
0.1%
8.0 351
 
0.1%
99.0 75
 
< 0.1%
(Missing) 397723
89.3%

Common Values (Plot)

2024-05-29T00:21:22.401314image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LCSCTSC1
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing38210
Missing (%)8.6%
Memory size435.0 KiB
2.0
223221 
1.0
165865 
7.0
 
16876
9.0
 
960

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 223221
50.1%
1.0 165865
37.3%
7.0 16876
 
3.8%
9.0 960
 
0.2%
(Missing) 38210
 
8.6%

Common Values (Plot)

2024-05-29T00:21:22.941819image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LCSCTWHN
Categorical

MISSING 

Distinct8
Distinct (%)< 0.1%
Missing413627
Missing (%)92.9%
Memory size435.2 KiB
1.0
14040 
2.0
4292 
4.0
3227 
6.0
3152 
5.0
2888 
Other values (3)
3906 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row5.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 14040
 
3.2%
2.0 4292
 
1.0%
4.0 3227
 
0.7%
6.0 3152
 
0.7%
5.0 2888
 
0.6%
3.0 2684
 
0.6%
7.0 1169
 
0.3%
9.0 53
 
< 0.1%
(Missing) 413627
92.9%

Common Values (Plot)

2024-05-29T00:21:23.523532image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LCSFIRST
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)0.1%
Missing283417
Missing (%)63.7%
Infinite0
Infinite (%)0.0%
Mean61.42676313
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:24.051787image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12
Q115
median18
Q320
95-th percentile777
Maximum999
Range998
Interquartile range (IQR)5

Descriptive statistics

Standard deviation187.1302688
Coefficient of variation (CV)3.046396379
Kurtosis14.79156957
Mean61.42676313
Median Absolute Deviation (MAD)2
Skewness4.079953248
Sum9933629
Variance35017.7375
MonotonicityNot monotonic
2024-05-29T00:21:24.630017image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 27423
 
6.2%
16 21687
 
4.9%
15 15986
 
3.6%
17 13396
 
3.0%
20 12679
 
2.8%
14 10221
 
2.3%
19 9208
 
2.1%
13 7341
 
1.6%
21 6207
 
1.4%
12 5498
 
1.2%
Other values (75) 32069
 
7.2%
(Missing) 283417
63.7%
ValueCountFrequency (%)
1 64
 
< 0.1%
2 25
 
< 0.1%
3 24
 
< 0.1%
4 51
 
< 0.1%
5 160
< 0.1%
ValueCountFrequency (%)
999 654
 
0.1%
888 4858
1.1%
777 2877
0.6%
99 3
 
< 0.1%
88 6
 
< 0.1%

LCSLAST
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)0.1%
Missing324513
Missing (%)72.9%
Infinite0
Infinite (%)0.0%
Mean73.22943317
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:25.214072image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20
Q127
median36
Q350
95-th percentile78
Maximum999
Range998
Interquartile range (IQR)23

Descriptive statistics

Standard deviation162.2369283
Coefficient of variation (CV)2.21546066
Kurtosis17.96642519
Mean73.22943317
Median Absolute Deviation (MAD)11
Skewness4.408966186
Sum8832861
Variance26320.82091
MonotonicityNot monotonic
2024-05-29T00:21:25.666541image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 7886
 
1.8%
40 6734
 
1.5%
35 5555
 
1.2%
25 5489
 
1.2%
50 5226
 
1.2%
777 4619
 
1.0%
45 3909
 
0.9%
22 3688
 
0.8%
21 3416
 
0.8%
28 3302
 
0.7%
Other values (88) 70795
 
15.9%
(Missing) 324513
72.9%
ValueCountFrequency (%)
1 5
 
< 0.1%
2 12
< 0.1%
3 2
 
< 0.1%
4 4
 
< 0.1%
5 14
< 0.1%
ValueCountFrequency (%)
999 842
 
0.2%
777 4619
1.0%
100 1
 
< 0.1%
99 6
 
< 0.1%
96 1
 
< 0.1%

LCSNUMCG
Real number (ℝ)

MISSING 

Distinct126
Distinct (%)0.1%
Missing288992
Missing (%)64.9%
Infinite0
Infinite (%)0.0%
Mean45.11763161
Minimum0
Maximum999
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:26.277193image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median12
Q320
95-th percentile60
Maximum999
Range999
Interquartile range (IQR)13

Descriptive statistics

Standard deviation151.5488448
Coefficient of variation (CV)3.358971633
Kurtosis22.30352591
Mean45.11763161
Median Absolute Deviation (MAD)8
Skewness4.877851125
Sum7044667
Variance22967.05235
MonotonicityNot monotonic
2024-05-29T00:21:26.864697image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 42344
 
9.5%
10 33105
 
7.4%
5 11559
 
2.6%
15 9197
 
2.1%
40 6820
 
1.5%
3 6101
 
1.4%
30 6099
 
1.4%
2 5178
 
1.2%
777 5167
 
1.2%
4 4965
 
1.1%
Other values (116) 25605
 
5.8%
(Missing) 288992
64.9%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 4415
1.0%
2 5178
1.2%
3 6101
1.4%
4 4965
1.1%
ValueCountFrequency (%)
999 726
 
0.2%
777 5167
1.2%
600 1
 
< 0.1%
300 6
 
< 0.1%
270 1
 
< 0.1%

LCSSCNCR
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing279557
Missing (%)62.8%
Memory size435.0 KiB
2.0
124356 
1.0
31581 
7.0
 
9512
9.0
 
126

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 124356
27.9%
1.0 31581
 
7.1%
7.0 9512
 
2.1%
9.0 126
 
< 0.1%
(Missing) 279557
62.8%

Common Values (Plot)

2024-05-29T00:21:27.388458image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LOADULK2
Categorical

MISSING 

Distinct4
Distinct (%)0.1%
Missing441077
Missing (%)99.1%
Memory size435.0 KiB
1.0
2167 
2.0
1852 
9.0
 
20
7.0
 
16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 2167
 
0.5%
2.0 1852
 
0.4%
9.0 20
 
< 0.1%
7.0 16
 
< 0.1%
(Missing) 441077
99.1%

Common Values (Plot)

2024-05-29T00:21:27.914585image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LSATISFY
Categorical

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing190644
Missing (%)42.8%
Memory size435.0 KiB
2.0
123445 
1.0
114252 
3.0
 
10758
4.0
 
3062
7.0
 
1864

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 123445
27.7%
1.0 114252
25.7%
3.0 10758
 
2.4%
4.0 3062
 
0.7%
7.0 1864
 
0.4%
9.0 1107
 
0.2%
(Missing) 190644
42.8%

Common Values (Plot)

2024-05-29T00:21:28.455607image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARIJAN1
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)< 0.1%
Missing350213
Missing (%)78.7%
Infinite0
Infinite (%)0.0%
Mean79.35192111
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:29.021861image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.74550196
Coefficient of variation (CV)0.2992429374
Kurtosis4.299529222
Mean79.35192111
Median Absolute Deviation (MAD)0
Skewness-2.449628269
Sum7532005
Variance563.8488635
MonotonicityNot monotonic
2024-05-29T00:21:29.588363image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
88 82210
 
18.5%
30 4355
 
1.0%
1 1261
 
0.3%
2 1079
 
0.2%
99 688
 
0.2%
20 681
 
0.2%
10 677
 
0.2%
15 629
 
0.1%
5 617
 
0.1%
3 550
 
0.1%
Other values (22) 2172
 
0.5%
(Missing) 350213
78.7%
ValueCountFrequency (%)
1 1261
0.3%
2 1079
0.2%
3 550
0.1%
4 425
 
0.1%
5 617
0.1%
ValueCountFrequency (%)
99 688
 
0.2%
88 82210
18.5%
77 496
 
0.1%
30 4355
 
1.0%
29 76
 
< 0.1%

MARITAL
Categorical

Distinct7
Distinct (%)< 0.1%
Missing8
Missing (%)< 0.1%
Memory size435.2 KiB
1.0
227424 
5.0
80001 
2.0
57516 
3.0
48019 
6.0
 
18668
Other values (2)
 
13496

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 227424
51.1%
5.0 80001
 
18.0%
2.0 57516
 
12.9%
3.0 48019
 
10.8%
6.0 18668
 
4.2%
4.0 8702
 
2.0%
9.0 4794
 
1.1%
(Missing) 8
 
< 0.1%

Common Values (Plot)

2024-05-29T00:21:30.095153image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARJDAB
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing433637
Missing (%)97.4%
Memory size435.0 KiB
2.0
10053 
1.0
1373 
7.0
 
50
9.0
 
19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 10053
 
2.3%
1.0 1373
 
0.3%
7.0 50
 
< 0.1%
9.0 19
 
< 0.1%
(Missing) 433637
97.4%

Common Values (Plot)

2024-05-29T00:21:30.506956image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARJEAT
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing433628
Missing (%)97.4%
Memory size435.0 KiB
2.0
6681 
1.0
4799 
7.0
 
13
9.0
 
11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 6681
 
1.5%
1.0 4799
 
1.1%
7.0 13
 
< 0.1%
9.0 11
 
< 0.1%
(Missing) 433628
97.4%

Common Values (Plot)

2024-05-29T00:21:30.980091image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARJOTHR
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing433645
Missing (%)97.4%
Memory size435.0 KiB
2.0
10737 
1.0
 
708
7.0
 
26
9.0
 
16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 10737
 
2.4%
1.0 708
 
0.2%
7.0 26
 
< 0.1%
9.0 16
 
< 0.1%
(Missing) 433645
97.4%

Common Values (Plot)

2024-05-29T00:21:31.404970image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARJSMOK
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing433622
Missing (%)97.4%
Memory size435.0 KiB
1.0
8906 
2.0
2582 
9.0
 
12
7.0
 
10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 8906
 
2.0%
2.0 2582
 
0.6%
9.0 12
 
< 0.1%
7.0 10
 
< 0.1%
(Missing) 433622
97.4%

Common Values (Plot)

2024-05-29T00:21:31.833518image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARJVAPE
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing433629
Missing (%)97.4%
Memory size435.0 KiB
2.0
8680 
1.0
2798 
9.0
 
13
7.0
 
12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 8680
 
1.9%
1.0 2798
 
0.6%
9.0 13
 
< 0.1%
7.0 12
 
< 0.1%
(Missing) 433629
97.4%

Common Values (Plot)

2024-05-29T00:21:32.317180image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MAXDRNKS
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)< 0.1%
Missing235721
Missing (%)53.0%
Infinite0
Infinite (%)0.0%
Mean5.851168277
Minimum0
Maximum99
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:32.849062image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q34
95-th percentile12
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation13.99147454
Coefficient of variation (CV)2.391227509
Kurtosis24.86102384
Mean5.851168277
Median Absolute Deviation (MAD)1
Skewness5.024793625
Sum1225299
Variance195.7613598
MonotonicityNot monotonic
2024-05-29T00:21:33.414636image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 53693
 
12.1%
1 52820
 
11.9%
3 32991
 
7.4%
4 18000
 
4.0%
5 13510
 
3.0%
6 11084
 
2.5%
77 5592
 
1.3%
8 4956
 
1.1%
10 4441
 
1.0%
7 3915
 
0.9%
Other values (51) 8409
 
1.9%
(Missing) 235721
53.0%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 52820
11.9%
2 53693
12.1%
3 32991
7.4%
4 18000
 
4.0%
ValueCountFrequency (%)
99 1050
 
0.2%
77 5592
1.3%
76 17
 
< 0.1%
75 2
 
< 0.1%
72 2
 
< 0.1%

MEDCOST1
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size435.0 KiB
2.0
406296 
1.0
 
37227
7.0
 
1157
9.0
 
448

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 406296
91.3%
1.0 37227
 
8.4%
7.0 1157
 
0.3%
9.0 448
 
0.1%
(Missing) 4
 
< 0.1%

Common Values (Plot)

2024-05-29T00:21:33.995044image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MENTCIGS
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing440138
Missing (%)98.9%
Memory size435.0 KiB
2.0
3192 
1.0
1780 
7.0
 
12
9.0
 
10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 3192
 
0.7%
1.0 1780
 
0.4%
7.0 12
 
< 0.1%
9.0 10
 
< 0.1%
(Missing) 440138
98.9%

Common Values (Plot)

2024-05-29T00:21:34.519232image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MENTECIG
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.2%
Missing442968
Missing (%)99.5%
Memory size435.0 KiB
2.0
1504 
1.0
626 
7.0
 
32
9.0
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 1504
 
0.3%
1.0 626
 
0.1%
7.0 32
 
< 0.1%
9.0 2
 
< 0.1%
(Missing) 442968
99.5%

Common Values (Plot)

2024-05-29T00:21:35.048138image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MENTHLTH
Real number (ℝ)

Distinct33
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean58.41823382
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:35.563496image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q114
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)74

Descriptive statistics

Standard deviation37.83581449
Coefficient of variation (CV)0.6476713181
Kurtosis-1.605188947
Mean58.41823382
Median Absolute Deviation (MAD)0
Skewness-0.5506722838
Sum26003650
Variance1431.548858
MonotonicityNot monotonic
2024-05-29T00:21:36.100381image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 265229
59.6%
30 26990
 
6.1%
2 23785
 
5.3%
5 19951
 
4.5%
10 15414
 
3.5%
3 15345
 
3.4%
15 14519
 
3.3%
1 14409
 
3.2%
20 9150
 
2.1%
4 7943
 
1.8%
Other values (23) 32394
 
7.3%
ValueCountFrequency (%)
1 14409
3.2%
2 23785
5.3%
3 15345
3.4%
4 7943
 
1.8%
5 19951
4.5%
ValueCountFrequency (%)
99 2475
 
0.6%
88 265229
59.6%
77 6589
 
1.5%
30 26990
 
6.1%
29 502
 
0.1%

MSCODE
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing351246
Missing (%)78.9%
Memory size435.0 KiB
5.0
32395 
1.0
29393 
3.0
16068 
2.0
16030 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row5.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
5.0 32395
 
7.3%
1.0 29393
 
6.6%
3.0 16068
 
3.6%
2.0 16030
 
3.6%
(Missing) 351246
78.9%

Common Values (Plot)

2024-05-29T00:21:36.647130image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

NOBCUSE8
Categorical

MISSING 

Distinct16
Distinct (%)0.5%
Missing441970
Missing (%)99.3%
Memory size435.5 KiB
3.0
756 
14.0
575 
10.0
492 
8.0
440 
4.0
210 
Other values (11)
689 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10.0
2nd row4.0
3rd row3.0
4th row3.0
5th row10.0

Common Values

ValueCountFrequency (%)
3.0 756
 
0.2%
14.0 575
 
0.1%
10.0 492
 
0.1%
8.0 440
 
0.1%
4.0 210
 
< 0.1%
2.0 193
 
< 0.1%
77.0 113
 
< 0.1%
11.0 104
 
< 0.1%
99.0 88
 
< 0.1%
1.0 71
 
< 0.1%
Other values (6) 120
 
< 0.1%
(Missing) 441970
99.3%

NUMADULT
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)< 0.1%
Missing349100
Missing (%)78.4%
Infinite0
Infinite (%)0.0%
Mean1.679325641
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:37.126937image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum21
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.78040423
Coefficient of variation (CV)0.464712865
Kurtosis17.42737198
Mean1.679325641
Median Absolute Deviation (MAD)1
Skewness2.168643189
Sum161269
Variance0.6090307622
MonotonicityNot monotonic
2024-05-29T00:21:37.592651image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 43689
 
9.8%
2 43123
 
9.7%
3 6634
 
1.5%
4 1919
 
0.4%
5 456
 
0.1%
6 133
 
< 0.1%
7 41
 
< 0.1%
8 12
 
< 0.1%
10 8
 
< 0.1%
9 6
 
< 0.1%
Other values (6) 11
 
< 0.1%
(Missing) 349100
78.4%
ValueCountFrequency (%)
1 43689
9.8%
2 43123
9.7%
3 6634
 
1.5%
4 1919
 
0.4%
5 456
 
0.1%
ValueCountFrequency (%)
21 1
 
< 0.1%
18 1
 
< 0.1%
17 2
< 0.1%
15 2
< 0.1%
12 3
< 0.1%

NUMHHOL4
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing349083
Missing (%)78.4%
Memory size435.0 KiB
2.0
88512 
1.0
 
6943
9.0
 
447
7.0
 
147

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 88512
 
19.9%
1.0 6943
 
1.6%
9.0 447
 
0.1%
7.0 147
 
< 0.1%
(Missing) 349083
78.4%

Common Values (Plot)

2024-05-29T00:21:37.876254image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

NUMMEN
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)< 0.1%
Missing394702
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean1.098532619
Minimum0
Maximum16
Zeros2448
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:38.082845image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5013889652
Coefficient of variation (CV)0.4564170024
Kurtosis42.54500592
Mean1.098532619
Median Absolute Deviation (MAD)0
Skewness3.064692925
Sum55399
Variance0.2513908944
MonotonicityNot monotonic
2024-05-29T00:21:38.319752image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 41722
 
9.4%
2 5335
 
1.2%
0 2448
 
0.5%
3 775
 
0.2%
4 114
 
< 0.1%
5 22
 
< 0.1%
6 7
 
< 0.1%
7 3
 
< 0.1%
10 1
 
< 0.1%
16 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 394702
88.7%
ValueCountFrequency (%)
0 2448
 
0.5%
1 41722
9.4%
2 5335
 
1.2%
3 775
 
0.2%
4 114
 
< 0.1%
ValueCountFrequency (%)
16 1
 
< 0.1%
15 1
 
< 0.1%
12 1
 
< 0.1%
10 1
 
< 0.1%
7 3
< 0.1%

NUMPHON4
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)0.1%
Missing438189
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean1.859858851
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:38.570560image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.58157802
Coefficient of variation (CV)0.8503752955
Kurtosis9.621001597
Mean1.859858851
Median Absolute Deviation (MAD)0
Skewness3.051782982
Sum12913
Variance2.501389032
MonotonicityNot monotonic
2024-05-29T00:21:38.802805image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 3770
 
0.8%
2 2277
 
0.5%
3 411
 
0.1%
9 133
 
< 0.1%
7 126
 
< 0.1%
4 94
 
< 0.1%
8 67
 
< 0.1%
6 40
 
< 0.1%
5 25
 
< 0.1%
(Missing) 438189
98.4%
ValueCountFrequency (%)
1 3770
0.8%
2 2277
0.5%
3 411
 
0.1%
4 94
 
< 0.1%
5 25
 
< 0.1%
ValueCountFrequency (%)
9 133
< 0.1%
8 67
< 0.1%
7 126
< 0.1%
6 40
 
< 0.1%
5 25
 
< 0.1%

NUMWOMEN
Real number (ℝ)

MISSING  SKEWED 

Distinct14
Distinct (%)< 0.1%
Missing394699
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean1.149723395
Minimum0
Maximum77
Zeros1080
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:39.066674image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum77
Range77
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6041975672
Coefficient of variation (CV)0.5255155889
Kurtosis4951.709188
Mean1.149723395
Median Absolute Deviation (MAD)0
Skewness41.6198957
Sum57984
Variance0.3650547002
MonotonicityNot monotonic
2024-05-29T00:21:39.316025image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 42129
 
9.5%
2 6203
 
1.4%
0 1080
 
0.2%
3 841
 
0.2%
4 127
 
< 0.1%
5 30
 
< 0.1%
6 8
 
< 0.1%
10 6
 
< 0.1%
7 3
 
< 0.1%
11 2
 
< 0.1%
Other values (4) 4
 
< 0.1%
(Missing) 394699
88.7%
ValueCountFrequency (%)
0 1080
 
0.2%
1 42129
9.5%
2 6203
 
1.4%
3 841
 
0.2%
4 127
 
< 0.1%
ValueCountFrequency (%)
77 1
 
< 0.1%
17 1
 
< 0.1%
15 1
 
< 0.1%
11 2
 
< 0.1%
10 6
< 0.1%

PCPSARS2
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)0.1%
Missing441196
Missing (%)99.1%
Memory size435.0 KiB
1.0
3195 
2.0
395 
3.0
 
294
7.0
 
45
9.0
 
7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 3195
 
0.7%
2.0 395
 
0.1%
3.0 294
 
0.1%
7.0 45
 
< 0.1%
9.0 7
 
< 0.1%
(Missing) 441196
99.1%

Common Values (Plot)

2024-05-29T00:21:39.712085image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PCSTALK1
Categorical

MISSING 

Distinct6
Distinct (%)0.1%
Missing438364
Missing (%)98.5%
Memory size435.0 KiB
4.0
3056 
3.0
1911 
7.0
969 
1.0
660 
9.0
 
142

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row3.0
3rd row4.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
4.0 3056
 
0.7%
3.0 1911
 
0.4%
7.0 969
 
0.2%
1.0 660
 
0.1%
9.0 142
 
< 0.1%
2.0 30
 
< 0.1%
(Missing) 438364
98.5%

Common Values (Plot)

2024-05-29T00:21:40.218280image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PDIABTS1
Categorical

MISSING 

Distinct9
Distinct (%)< 0.1%
Missing304884
Missing (%)68.5%
Memory size435.2 KiB
1.0
89696 
2.0
13615 
8.0
12758 
7.0
 
8762
3.0
 
5312
Other values (4)
10105 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 89696
 
20.2%
2.0 13615
 
3.1%
8.0 12758
 
2.9%
7.0 8762
 
2.0%
3.0 5312
 
1.2%
4.0 4475
 
1.0%
5.0 2856
 
0.6%
6.0 2555
 
0.6%
9.0 219
 
< 0.1%
(Missing) 304884
68.5%

Common Values (Plot)

2024-05-29T00:21:40.756539image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PERSDOC3
Categorical

Distinct5
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size435.0 KiB
1.0
246967 
2.0
136685 
3.0
57105 
7.0
 
3270
9.0
 
1103

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 246967
55.5%
2.0 136685
30.7%
3.0 57105
 
12.8%
7.0 3270
 
0.7%
9.0 1103
 
0.2%
(Missing) 2
 
< 0.1%

Common Values (Plot)

2024-05-29T00:21:41.335299image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PFPPRVN4
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing430451
Missing (%)96.7%
Memory size435.0 KiB
1.0
11401 
2.0
3168 
9.0
 
84
7.0
 
28

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row9.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 11401
 
2.6%
2.0 3168
 
0.7%
9.0 84
 
< 0.1%
7.0 28
 
< 0.1%
(Missing) 430451
96.7%

Common Values (Plot)

2024-05-29T00:21:41.865570image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PHYSHLTH
Real number (ℝ)

Distinct33
Distinct (%)< 0.1%
Missing5
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean59.17858948
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:42.313659image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q114
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)74

Descriptive statistics

Standard deviation37.58444406
Coefficient of variation (CV)0.6351020595
Kurtosis-1.534457872
Mean59.17858948
Median Absolute Deviation (MAD)0
Skewness-0.6029995949
Sum26341988
Variance1412.590435
MonotonicityNot monotonic
2024-05-29T00:21:43.530406image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 267819
60.2%
30 33082
 
7.4%
2 25256
 
5.7%
1 17250
 
3.9%
3 15948
 
3.6%
5 15315
 
3.4%
10 10589
 
2.4%
7 9348
 
2.1%
77 8875
 
2.0%
15 8787
 
2.0%
Other values (23) 32858
 
7.4%
ValueCountFrequency (%)
1 17250
3.9%
2 25256
5.7%
3 15948
3.6%
4 8462
 
1.9%
5 15315
3.4%
ValueCountFrequency (%)
99 2047
 
0.5%
88 267819
60.2%
77 8875
 
2.0%
30 33082
 
7.4%
29 365
 
0.1%

PNEUVAC4
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing44732
Missing (%)10.0%
Memory size435.0 KiB
2.0
215604 
1.0
152488 
7.0
31387 
9.0
 
921

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 215604
48.4%
1.0 152488
34.3%
7.0 31387
 
7.1%
9.0 921
 
0.2%
(Missing) 44732
 
10.0%

Common Values (Plot)

2024-05-29T00:21:44.016160image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

POORHLTH
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)< 0.1%
Missing189386
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean51.86784935
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:44.500810image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)81

Descriptive statistics

Standard deviation38.84906185
Coefficient of variation (CV)0.749000823
Kurtosis-1.855655728
Mean51.86784935
Median Absolute Deviation (MAD)0
Skewness-0.2093358258
Sum13264995
Variance1509.249607
MonotonicityNot monotonic
2024-05-29T00:21:45.059762image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 129472
29.1%
30 19652
 
4.4%
2 15131
 
3.4%
5 12867
 
2.9%
1 11826
 
2.7%
3 10428
 
2.3%
10 9833
 
2.2%
15 9500
 
2.1%
7 6394
 
1.4%
4 5948
 
1.3%
Other values (23) 24695
 
5.5%
(Missing) 189386
42.5%
ValueCountFrequency (%)
1 11826
2.7%
2 15131
3.4%
3 10428
2.3%
4 5948
 
1.3%
5 12867
2.9%
ValueCountFrequency (%)
99 1407
 
0.3%
88 129472
29.1%
77 5065
 
1.1%
30 19652
 
4.4%
29 212
 
< 0.1%

PREDIAB2
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing304910
Missing (%)68.5%
Memory size435.0 KiB
3.0
118648 
1.0
19361 
2.0
 
1504
7.0
 
588
9.0
 
121

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row1.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 118648
 
26.7%
1.0 19361
 
4.3%
2.0 1504
 
0.3%
7.0 588
 
0.1%
9.0 121
 
< 0.1%
(Missing) 304910
68.5%

Common Values (Plot)

2024-05-29T00:21:45.634457image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PREGNANT
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing366114
Missing (%)82.2%
Memory size435.0 KiB
2.0
76169 
1.0
 
2311
9.0
 
335
7.0
 
203

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 76169
 
17.1%
1.0 2311
 
0.5%
9.0 335
 
0.1%
7.0 203
 
< 0.1%
(Missing) 366114
82.2%

Common Values (Plot)

2024-05-29T00:21:46.196145image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PRIMINSR
Categorical

Distinct13
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size435.5 KiB
1.0
161388 
3.0
135848 
2.0
36931 
5.0
29072 
88.0
23018 
Other values (8)
58871 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row99.0
2nd row3.0
3rd row1.0
4th row99.0
5th row7.0

Common Values

ValueCountFrequency (%)
1.0 161388
36.3%
3.0 135848
30.5%
2.0 36931
 
8.3%
5.0 29072
 
6.5%
88.0 23018
 
5.2%
7.0 15373
 
3.5%
9.0 12878
 
2.9%
10.0 10630
 
2.4%
77.0 9890
 
2.2%
99.0 7991
 
1.8%
Other values (3) 2109
 
0.5%

PSASUGST
Categorical

MISSING 

Distinct5
Distinct (%)0.1%
Missing440738
Missing (%)99.0%
Memory size435.0 KiB
2.0
3279 
1.0
401 
7.0
 
269
9.0
 
243
3.0
 
202

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 3279
 
0.7%
1.0 401
 
0.1%
7.0 269
 
0.1%
9.0 243
 
0.1%
3.0 202
 
< 0.1%
(Missing) 440738
99.0%

Common Values (Plot)

2024-05-29T00:21:46.721488image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PSATEST1
Categorical

MISSING 

Distinct4
Distinct (%)0.1%
Missing437952
Missing (%)98.4%
Memory size435.0 KiB
1.0
3951 
2.0
2680 
7.0
504 
9.0
 
45

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row7.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 3951
 
0.9%
2.0 2680
 
0.6%
7.0 504
 
0.1%
9.0 45
 
< 0.1%
(Missing) 437952
98.4%

Common Values (Plot)

2024-05-29T00:21:47.279177image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PSATIME1
Categorical

MISSING 

Distinct7
Distinct (%)0.2%
Missing441186
Missing (%)99.1%
Memory size435.2 KiB
1.0
2453 
2.0
528 
5.0
331 
3.0
249 
4.0
 
224
Other values (2)
 
161

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row7.0
3rd row1.0
4th row5.0
5th row4.0

Common Values

ValueCountFrequency (%)
1.0 2453
 
0.6%
2.0 528
 
0.1%
5.0 331
 
0.1%
3.0 249
 
0.1%
4.0 224
 
0.1%
7.0 156
 
< 0.1%
9.0 5
 
< 0.1%
(Missing) 441186
99.1%

Common Values (Plot)

2024-05-29T00:21:47.829653image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PVTRESD1
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing349082
Missing (%)78.4%
Memory size434.9 KiB
1.0
96031 
2.0
 
19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 96031
 
21.6%
2.0 19
 
< 0.1%
(Missing) 349082
78.4%

Common Values (Plot)

2024-05-29T00:21:48.210654image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PVTRESD3
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing96058
Missing (%)21.6%
Memory size434.9 KiB
1.0
347749 
2.0
 
1325

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 347749
78.1%
2.0 1325
 
0.3%
(Missing) 96058
 
21.6%

Common Values (Plot)

2024-05-29T00:21:48.418573image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

QSTLANG
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size434.9 KiB
1
427474 
2
 
17658

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 427474
96.0%
2 17658
 
4.0%

Common Values (Plot)

2024-05-29T00:21:48.642973image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

QSTVER
Categorical

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size435.2 KiB
20
217614 
10
60413 
21
60049 
22
55903 
11
 
16065
Other values (3)
35088 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
20 217614
48.9%
10 60413
 
13.6%
21 60049
 
13.5%
22 55903
 
12.6%
11 16065
 
3.6%
23 15515
 
3.5%
12 14921
 
3.4%
13 4652
 
1.0%

Common Values (Plot)

2024-05-29T00:21:48.924704image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RCSGEND1
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing386144
Missing (%)86.7%
Memory size435.0 KiB
1.0
28832 
2.0
26655 
9.0
3327 
3.0
 
174

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 28832
 
6.5%
2.0 26655
 
6.0%
9.0 3327
 
0.7%
3.0 174
 
< 0.1%
(Missing) 386144
86.7%

Common Values (Plot)

2024-05-29T00:21:49.247183image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RCSRLTN2
Categorical

IMBALANCE  MISSING 

Distinct8
Distinct (%)< 0.1%
Missing386658
Missing (%)86.9%
Memory size435.2 KiB
1.0
45256 
2.0
5072 
4.0
 
2713
9.0
 
2026
5.0
 
1616
Other values (3)
 
1791

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 45256
 
10.2%
2.0 5072
 
1.1%
4.0 2713
 
0.6%
9.0 2026
 
0.5%
5.0 1616
 
0.4%
6.0 924
 
0.2%
3.0 800
 
0.2%
7.0 67
 
< 0.1%
(Missing) 386658
86.9%

Common Values (Plot)

2024-05-29T00:21:49.513657image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RCSXBRTH
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing441669
Missing (%)99.2%
Memory size435.0 KiB
9.0
2688 
2.0
397 
1.0
376 
7.0
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row9.0
3rd row9.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
9.0 2688
 
0.6%
2.0 397
 
0.1%
1.0 376
 
0.1%
7.0 2
 
< 0.1%
(Missing) 441669
99.2%

Common Values (Plot)

2024-05-29T00:21:49.804857image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RENTHOM1
Categorical

IMBALANCE 

Distinct5
Distinct (%)< 0.1%
Missing9
Missing (%)< 0.1%
Memory size435.0 KiB
1.0
310708 
2.0
108332 
3.0
 
21463
9.0
 
3521
7.0
 
1099

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 310708
69.8%
2.0 108332
 
24.3%
3.0 21463
 
4.8%
9.0 3521
 
0.8%
7.0 1099
 
0.2%
(Missing) 9
 
< 0.1%

Common Values (Plot)

2024-05-29T00:21:50.092869image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RESPSLCT
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing392879
Missing (%)88.3%
Memory size435.0 KiB
2.0
29982 
1.0
22268 
7.0
 
2
3.0
 
1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 29982
 
6.7%
1.0 22268
 
5.0%
7.0 2
 
< 0.1%
3.0 1
 
< 0.1%
(Missing) 392879
88.3%

Common Values (Plot)

2024-05-29T00:21:50.373623image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RMVTETH4
Categorical

Distinct6
Distinct (%)< 0.1%
Missing1363
Missing (%)0.3%
Memory size435.0 KiB
8.0
233455 
1.0
129294 
2.0
45570 
3.0
25453 
7.0
 
8563

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8.0
2nd row8.0
3rd row1.0
4th row2.0
5th row8.0

Common Values

ValueCountFrequency (%)
8.0 233455
52.4%
1.0 129294
29.0%
2.0 45570
 
10.2%
3.0 25453
 
5.7%
7.0 8563
 
1.9%
9.0 1434
 
0.3%
(Missing) 1363
 
0.3%

Common Values (Plot)

2024-05-29T00:21:50.644831image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRATWRK2
Categorical

IMBALANCE  MISSING 

Distinct7
Distinct (%)< 0.1%
Missing362095
Missing (%)81.3%
Memory size435.2 KiB
2.0
67242 
3.0
 
5548
1.0
 
3676
7.0
 
3119
9.0
 
1839
Other values (2)
 
1613

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row7.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 67242
 
15.1%
3.0 5548
 
1.2%
1.0 3676
 
0.8%
7.0 3119
 
0.7%
9.0 1839
 
0.4%
5.0 1228
 
0.3%
4.0 385
 
0.1%
(Missing) 362095
81.3%

Common Values (Plot)

2024-05-29T00:21:50.973154image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRCLASS3
Categorical

IMBALANCE  MISSING 

Distinct10
Distinct (%)< 0.1%
Missing283394
Missing (%)63.7%
Memory size435.2 KiB
1.0
127773 
2.0
15108 
3.0
 
7344
4.0
 
2746
99.0
 
2378
Other values (5)
 
6389

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 127773
28.7%
2.0 15108
 
3.4%
3.0 7344
 
1.6%
4.0 2746
 
0.6%
99.0 2378
 
0.5%
77.0 1986
 
0.4%
8.0 1669
 
0.4%
6.0 1653
 
0.4%
7.0 866
 
0.2%
5.0 215
 
< 0.1%
(Missing) 283394
63.7%

Common Values (Plot)

2024-05-29T00:21:51.323505image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRCOGNT2
Categorical

MISSING 

Distinct9
Distinct (%)< 0.1%
Missing283788
Missing (%)63.8%
Memory size435.2 KiB
1.0
89779 
3.0
17416 
4.0
14459 
2.0
13292 
5.0
10607 
Other values (4)
15791 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row3.0
3rd row1.0
4th row4.0
5th row7.0

Common Values

ValueCountFrequency (%)
1.0 89779
 
20.2%
3.0 17416
 
3.9%
4.0 14459
 
3.2%
2.0 13292
 
3.0%
5.0 10607
 
2.4%
8.0 8512
 
1.9%
7.0 4790
 
1.1%
9.0 1934
 
0.4%
6.0 555
 
0.1%
(Missing) 283788
63.8%

Common Values (Plot)

2024-05-29T00:21:51.681676image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRHCARE4
Categorical

IMBALANCE  MISSING 

Distinct8
Distinct (%)< 0.1%
Missing284624
Missing (%)63.9%
Memory size435.2 KiB
2.0
109321 
3.0
24846 
7.0
16738 
1.0
 
3899
9.0
 
3832
Other values (3)
 
1872

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row3.0
4th row2.0
5th row7.0

Common Values

ValueCountFrequency (%)
2.0 109321
 
24.6%
3.0 24846
 
5.6%
7.0 16738
 
3.8%
1.0 3899
 
0.9%
9.0 3832
 
0.9%
5.0 700
 
0.2%
6.0 673
 
0.2%
4.0 499
 
0.1%
(Missing) 284624
63.9%

Common Values (Plot)

2024-05-29T00:21:52.047092image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRPHYSM2
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing284942
Missing (%)64.0%
Memory size435.0 KiB
2.0
152591 
1.0
 
4840
9.0
 
1779
7.0
 
980

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 152591
34.3%
1.0 4840
 
1.1%
9.0 1779
 
0.4%
7.0 980
 
0.2%
(Missing) 284942
64.0%

Common Values (Plot)

2024-05-29T00:21:52.396174image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRTREAT
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing284167
Missing (%)63.8%
Memory size435.2 KiB
2.0
97773 
3.0
35375 
7.0
11575 
1.0
 
9649
9.0
 
4259
Other values (2)
 
2334

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row7.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
2.0 97773
 
22.0%
3.0 35375
 
7.9%
7.0 11575
 
2.6%
1.0 9649
 
2.2%
9.0 4259
 
1.0%
4.0 1470
 
0.3%
5.0 864
 
0.2%
(Missing) 284167
63.8%

Common Values (Plot)

2024-05-29T00:21:52.686969image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SAFETIME
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing96051
Missing (%)21.6%
Memory size434.9 KiB
1.0
349081 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 349081
78.4%
(Missing) 96051
 
21.6%

Common Values (Plot)

2024-05-29T00:21:52.966084image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHBILLS
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing192610
Missing (%)43.3%
Memory size435.0 KiB
2.0
228332 
1.0
 
22690
9.0
 
842
7.0
 
658

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 228332
51.3%
1.0 22690
 
5.1%
9.0 842
 
0.2%
7.0 658
 
0.1%
(Missing) 192610
43.3%

Common Values (Plot)

2024-05-29T00:21:53.215912image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHEMPLY
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing191617
Missing (%)43.0%
Memory size435.0 KiB
2.0
227969 
1.0
23170 
9.0
 
1232
7.0
 
1144

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 227969
51.2%
1.0 23170
 
5.2%
9.0 1232
 
0.3%
7.0 1144
 
0.3%
(Missing) 191617
43.0%

Common Values (Plot)

2024-05-29T00:21:53.508849image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHFOOD1
Categorical

IMBALANCE  MISSING 

Distinct7
Distinct (%)< 0.1%
Missing192303
Missing (%)43.2%
Memory size435.2 KiB
5.0
203654 
4.0
20768 
3.0
 
17258
1.0
 
4824
2.0
 
4603
Other values (2)
 
1722

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row5.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 203654
45.8%
4.0 20768
 
4.7%
3.0 17258
 
3.9%
1.0 4824
 
1.1%
2.0 4603
 
1.0%
7.0 879
 
0.2%
9.0 843
 
0.2%
(Missing) 192303
43.2%

Common Values (Plot)

2024-05-29T00:21:53.786997image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHISOLT
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing191342
Missing (%)43.0%
Memory size435.2 KiB
5.0
106160 
4.0
70617 
3.0
53072 
2.0
13178 
1.0
 
8098
Other values (2)
 
2665

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row3.0
4th row3.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 106160
23.8%
4.0 70617
 
15.9%
3.0 53072
 
11.9%
2.0 13178
 
3.0%
1.0 8098
 
1.8%
7.0 1696
 
0.4%
9.0 969
 
0.2%
(Missing) 191342
43.0%

Common Values (Plot)

2024-05-29T00:21:54.085802image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHSTRE1
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing193921
Missing (%)43.6%
Memory size435.2 KiB
5.0
94681 
4.0
69465 
3.0
55913 
2.0
17179 
1.0
12295 
Other values (2)
 
1678

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row5.0
3rd row5.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 94681
21.3%
4.0 69465
 
15.6%
3.0 55913
 
12.6%
2.0 17179
 
3.9%
1.0 12295
 
2.8%
9.0 884
 
0.2%
7.0 794
 
0.2%
(Missing) 193921
43.6%

Common Values (Plot)

2024-05-29T00:21:54.417547image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHTRNSP
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing193189
Missing (%)43.4%
Memory size435.0 KiB
2.0
234506 
1.0
 
16376
9.0
 
621
7.0
 
440

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 234506
52.7%
1.0 16376
 
3.7%
9.0 621
 
0.1%
7.0 440
 
0.1%
(Missing) 193189
43.4%

Common Values (Plot)

2024-05-29T00:21:54.701891image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHUTILS
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing192853
Missing (%)43.3%
Memory size435.0 KiB
2.0
236141 
1.0
 
14942
9.0
 
689
7.0
 
507

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 236141
53.0%
1.0 14942
 
3.4%
9.0 689
 
0.2%
7.0 507
 
0.1%
(Missing) 192853
43.3%

Common Values (Plot)

2024-05-29T00:21:54.936467image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDNATES1
Categorical

MISSING 

Distinct7
Distinct (%)0.1%
Missing433770
Missing (%)97.4%
Memory size435.2 KiB
1.0
4798 
2.0
2230 
3.0
1378 
5.0
1300 
4.0
1102 
Other values (2)
554 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row3.0
4th row2.0
5th row5.0

Common Values

ValueCountFrequency (%)
1.0 4798
 
1.1%
2.0 2230
 
0.5%
3.0 1378
 
0.3%
5.0 1300
 
0.3%
4.0 1102
 
0.2%
7.0 510
 
0.1%
9.0 44
 
< 0.1%
(Missing) 433770
97.4%

Common Values (Plot)

2024-05-29T00:21:55.215031image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SEQNO
Real number (ℝ)

Distinct26152
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2022005373
Minimum2022000001
Maximum2022026152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:55.519397image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2022000001
5-th percentile2022000413
Q12022002071
median2022004268
Q32022007532
95-th percentile2022014285
Maximum2022026152
Range26151
Interquartile range (IQR)5461

Descriptive statistics

Standard deviation4456.323667
Coefficient of variation (CV)2.203912871 × 10-6
Kurtosis2.787650625
Mean2022005373
Median Absolute Deviation (MAD)2565
Skewness1.479046754
Sum9.000592956 × 1014
Variance19858820.63
MonotonicityNot monotonic
2024-05-29T00:21:55.830561image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2022000001 54
 
< 0.1%
2022001017 54
 
< 0.1%
2022001026 54
 
< 0.1%
2022001025 54
 
< 0.1%
2022001024 54
 
< 0.1%
2022001023 54
 
< 0.1%
2022001022 54
 
< 0.1%
2022001021 54
 
< 0.1%
2022001020 54
 
< 0.1%
2022001019 54
 
< 0.1%
Other values (26142) 444592
99.9%
ValueCountFrequency (%)
2022000001 54
< 0.1%
2022000002 54
< 0.1%
2022000003 54
< 0.1%
2022000004 54
< 0.1%
2022000005 54
< 0.1%
ValueCountFrequency (%)
2022026152 1
< 0.1%
2022026151 1
< 0.1%
2022026150 1
< 0.1%
2022026149 1
< 0.1%
2022026148 1
< 0.1%

SEXVAR
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size434.9 KiB
2
235893 
1
209239 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 235893
53.0%
1 209239
47.0%

Common Values (Plot)

2024-05-29T00:21:56.164348image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SHINGLE2
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing430395
Missing (%)96.7%
Memory size435.0 KiB
2.0
7943 
1.0
6561 
7.0
 
220
9.0
 
13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 7943
 
1.8%
1.0 6561
 
1.5%
7.0 220
 
< 0.1%
9.0 13
 
< 0.1%
(Missing) 430395
96.7%

Common Values (Plot)

2024-05-29T00:21:56.438861image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SIGMTES1
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing413769
Missing (%)93.0%
Memory size435.2 KiB
5.0
10530 
3.0
5839 
1.0
4115 
4.0
4072 
7.0
3647 
Other values (2)
3160 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row7.0
3rd row3.0
4th row1.0
5th row7.0

Common Values

ValueCountFrequency (%)
5.0 10530
 
2.4%
3.0 5839
 
1.3%
1.0 4115
 
0.9%
4.0 4072
 
0.9%
7.0 3647
 
0.8%
2.0 2971
 
0.7%
9.0 189
 
< 0.1%
(Missing) 413769
93.0%

Common Values (Plot)

2024-05-29T00:21:56.722979image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SLEPTIM1
Real number (ℝ)

Distinct26
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7.912277115
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:21:57.005832image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q16
median7
Q38
95-th percentile9
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation8.164575452
Coefficient of variation (CV)1.031886944
Kurtosis75.11050974
Mean7.912277115
Median Absolute Deviation (MAD)1
Skewness8.568006036
Sum3521984
Variance66.66029231
MonotonicityNot monotonic
2024-05-29T00:21:57.266682image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
7 132927
29.9%
8 125442
28.2%
6 95880
21.5%
5 30122
 
6.8%
9 21210
 
4.8%
4 12433
 
2.8%
10 10459
 
2.3%
77 4792
 
1.1%
3 3260
 
0.7%
12 3004
 
0.7%
Other values (16) 5600
 
1.3%
ValueCountFrequency (%)
1 1154
 
0.3%
2 1549
 
0.3%
3 3260
 
0.7%
4 12433
2.8%
5 30122
6.8%
ValueCountFrequency (%)
99 658
 
0.1%
77 4792
1.1%
24 52
 
< 0.1%
23 18
 
< 0.1%
22 19
 
< 0.1%

SMALSTOL
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing383456
Missing (%)86.1%
Memory size435.0 KiB
1.0
49440 
2.0
11518 
7.0
 
661
9.0
 
57

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 49440
 
11.1%
2.0 11518
 
2.6%
7.0 661
 
0.1%
9.0 57
 
< 0.1%
(Missing) 383456
86.1%

Common Values (Plot)

2024-05-29T00:21:57.550775image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SMOKDAY2
Categorical

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing281079
Missing (%)63.1%
Memory size435.0 KiB
3.0
113774 
1.0
36003 
2.0
13938 
9.0
 
173
7.0
 
165

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row3.0
3rd row3.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 113774
25.6%
1.0 36003
 
8.1%
2.0 13938
 
3.1%
9.0 173
 
< 0.1%
7.0 165
 
< 0.1%
(Missing) 281079
63.1%

Common Values (Plot)

2024-05-29T00:21:57.823219image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SMOKE100
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing31777
Missing (%)7.1%
Memory size435.0 KiB
2.0
245955 
1.0
164217 
7.0
 
2297
9.0
 
886

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 245955
55.3%
1.0 164217
36.9%
7.0 2297
 
0.5%
9.0 886
 
0.2%
(Missing) 31777
 
7.1%

Common Values (Plot)

2024-05-29T00:21:58.151371image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SOFEMALE
Categorical

IMBALANCE  MISSING 

Distinct6
Distinct (%)< 0.1%
Missing305502
Missing (%)68.6%
Memory size435.0 KiB
2.0
123813 
3.0
 
5507
9.0
 
3443
4.0
 
2789
1.0
 
2318

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 123813
27.8%
3.0 5507
 
1.2%
9.0 3443
 
0.8%
4.0 2789
 
0.6%
1.0 2318
 
0.5%
7.0 1760
 
0.4%
(Missing) 305502
68.6%

Common Values (Plot)

2024-05-29T00:21:58.648537image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SOMALE
Categorical

IMBALANCE  MISSING 

Distinct6
Distinct (%)< 0.1%
Missing321100
Missing (%)72.1%
Memory size435.0 KiB
2.0
112679 
1.0
 
2939
9.0
 
2813
3.0
 
2570
4.0
 
1974

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 112679
 
25.3%
1.0 2939
 
0.7%
9.0 2813
 
0.6%
3.0 2570
 
0.6%
4.0 1974
 
0.4%
7.0 1057
 
0.2%
(Missing) 321100
72.1%

Common Values (Plot)

2024-05-29T00:21:59.117828image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE
Categorical

HIGH CARDINALITY 

Distinct54
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size437.3 KiB
53
 
26152
36
 
17800
27
 
16821
39
 
16487
24
 
16418
Other values (49)
351454 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
53 26152
 
5.9%
36 17800
 
4.0%
27 16821
 
3.8%
39 16487
 
3.7%
24 16418
 
3.7%
48 14245
 
3.2%
12 13393
 
3.0%
55 11276
 
2.5%
20 11247
 
2.5%
25 11029
 
2.5%
Other values (44) 290264
65.2%

STATERE1
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing349082
Missing (%)78.4%
Memory size434.9 KiB
1.0
96050 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 96050
 
21.6%
(Missing) 349082
78.4%

Common Values (Plot)

2024-05-29T00:21:59.513850image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STOLTEST
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing395758
Missing (%)88.9%
Memory size435.2 KiB
1.0
18325 
5.0
10479 
2.0
8529 
3.0
5316 
4.0
5227 
Other values (2)
 
1498

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row3.0
4th row4.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 18325
 
4.1%
5.0 10479
 
2.4%
2.0 8529
 
1.9%
3.0 5316
 
1.2%
4.0 5227
 
1.2%
7.0 1449
 
0.3%
9.0 49
 
< 0.1%
(Missing) 395758
88.9%

Common Values (Plot)

2024-05-29T00:21:59.860093image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STOOLDN2
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing383730
Missing (%)86.2%
Memory size435.0 KiB
2.0
48227 
1.0
11432 
7.0
 
1634
9.0
 
109

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 48227
 
10.8%
1.0 11432
 
2.6%
7.0 1634
 
0.4%
9.0 109
 
< 0.1%
(Missing) 383730
86.2%

Common Values (Plot)

2024-05-29T00:22:00.329585image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STOPSMK2
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing426243
Missing (%)95.8%
Memory size435.0 KiB
2.0
9473 
1.0
9311 
7.0
 
83
9.0
 
22

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 9473
 
2.1%
1.0 9311
 
2.1%
7.0 83
 
< 0.1%
9.0 22
 
< 0.1%
(Missing) 426243
95.8%

Common Values (Plot)

2024-05-29T00:22:00.788902image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TETANUS1
Categorical

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing45383
Missing (%)10.2%
Memory size435.0 KiB
4.0
121493 
3.0
113725 
1.0
99943 
7.0
36165 
2.0
27455 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row4.0
3rd row7.0
4th row4.0
5th row4.0

Common Values

ValueCountFrequency (%)
4.0 121493
27.3%
3.0 113725
25.5%
1.0 99943
22.5%
7.0 36165
 
8.1%
2.0 27455
 
6.2%
9.0 968
 
0.2%
(Missing) 45383
 
10.2%

Common Values (Plot)

2024-05-29T00:22:01.294198image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TOLDCFS
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing445132
Missing (%)100.0%
Memory size3.4 MiB

TRNSGNDR
Categorical

IMBALANCE  MISSING 

Distinct6
Distinct (%)< 0.1%
Missing181571
Missing (%)40.8%
Memory size435.0 KiB
4.0
258106 
9.0
 
3041
7.0
 
811
3.0
 
589
2.0
 
515

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row4.0
3rd row4.0
4th row4.0
5th row4.0

Common Values

ValueCountFrequency (%)
4.0 258106
58.0%
9.0 3041
 
0.7%
7.0 811
 
0.2%
3.0 589
 
0.1%
2.0 515
 
0.1%
1.0 499
 
0.1%
(Missing) 181571
40.8%

Common Values (Plot)

2024-05-29T00:22:01.823780image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TYPCNTR9
Categorical

MISSING 

Distinct14
Distinct (%)0.1%
Missing433762
Missing (%)97.4%
Memory size435.5 KiB
6.0
2259 
4.0
2049 
7.0
1923 
2.0
1525 
1.0
1468 
Other values (9)
2146 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6.0
2nd row7.0
3rd row1.0
4th row6.0
5th row6.0

Common Values

ValueCountFrequency (%)
6.0 2259
 
0.5%
4.0 2049
 
0.5%
7.0 1923
 
0.4%
2.0 1525
 
0.3%
1.0 1468
 
0.3%
10.0 656
 
0.1%
3.0 356
 
0.1%
12.0 343
 
0.1%
99.0 252
 
0.1%
5.0 196
 
< 0.1%
Other values (4) 343
 
0.1%
(Missing) 433762
97.4%

USEMRJN4
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.1%
Missing440126
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean1.801837795
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:22:02.245924image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.244642713
Coefficient of variation (CV)0.690762907
Kurtosis5.176251663
Mean1.801837795
Median Absolute Deviation (MAD)0
Skewness2.024826728
Sum9020
Variance1.549135483
MonotonicityNot monotonic
2024-05-29T00:22:02.665935image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 2995
 
0.7%
2 806
 
0.2%
3 756
 
0.2%
4 298
 
0.1%
7 83
 
< 0.1%
5 60
 
< 0.1%
9 8
 
< 0.1%
(Missing) 440126
98.9%
ValueCountFrequency (%)
1 2995
0.7%
2 806
 
0.2%
3 756
 
0.2%
4 298
 
0.1%
5 60
 
< 0.1%
ValueCountFrequency (%)
9 8
 
< 0.1%
7 83
 
< 0.1%
5 60
 
< 0.1%
4 298
 
0.1%
3 756
0.2%

USENOW3
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing32600
Missing (%)7.3%
Memory size435.0 KiB
3.0
398616 
1.0
 
7333
2.0
 
5358
9.0
 
872
7.0
 
353

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row3.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 398616
89.6%
1.0 7333
 
1.6%
2.0 5358
 
1.2%
9.0 872
 
0.2%
7.0 353
 
0.1%
(Missing) 32600
 
7.3%

Common Values (Plot)

2024-05-29T00:22:03.248389image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

VCLNTES2
Categorical

MISSING 

Distinct7
Distinct (%)0.1%
Missing436153
Missing (%)98.0%
Memory size435.2 KiB
3.0
2428 
1.0
2074 
4.0
1491 
2.0
1268 
5.0
1205 
Other values (2)
513 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row4.0
3rd row1.0
4th row4.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 2428
 
0.5%
1.0 2074
 
0.5%
4.0 1491
 
0.3%
2.0 1268
 
0.3%
5.0 1205
 
0.3%
7.0 492
 
0.1%
9.0 21
 
< 0.1%
(Missing) 436153
98.0%

Common Values (Plot)

2024-05-29T00:22:03.848312image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

VETERAN3
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing4173
Missing (%)0.9%
Memory size435.0 KiB
2.0
386272 
1.0
53211 
9.0
 
1268
7.0
 
208

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 386272
86.8%
1.0 53211
 
12.0%
9.0 1268
 
0.3%
7.0 208
 
< 0.1%
(Missing) 4173
 
0.9%

Common Values (Plot)

2024-05-29T00:22:04.442831image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

VIRCOLO1
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing383265
Missing (%)86.1%
Memory size435.0 KiB
2.0
49974 
1.0
9013 
7.0
 
2834
9.0
 
46

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 49974
 
11.2%
1.0 9013
 
2.0%
7.0 2834
 
0.6%
9.0 46
 
< 0.1%
(Missing) 383265
86.1%

Common Values (Plot)

2024-05-29T00:22:04.973435image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

WEIGHT2
Real number (ℝ)

MISSING 

Distinct619
Distinct (%)0.1%
Missing15901
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean785.5731692
Minimum32
Maximum9999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:22:05.493165image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile120
Q1150
median180
Q3220
95-th percentile7777
Maximum9999
Range9967
Interquartile range (IQR)70

Descriptive statistics

Standard deviation2279.250588
Coefficient of variation (CV)2.901385482
Kurtosis10.84647706
Mean785.5731692
Median Absolute Deviation (MAD)30
Skewness3.561091433
Sum337192357
Variance5194983.244
MonotonicityNot monotonic
2024-05-29T00:22:06.083211image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 21311
 
4.8%
180 19709
 
4.4%
9999 18152
 
4.1%
150 17595
 
4.0%
160 17177
 
3.9%
170 15979
 
3.6%
190 14202
 
3.2%
140 12924
 
2.9%
175 11722
 
2.6%
220 10890
 
2.4%
Other values (609) 269570
60.6%
(Missing) 15901
 
3.6%
ValueCountFrequency (%)
32 1
 
< 0.1%
50 10
< 0.1%
51 1
 
< 0.1%
52 2
 
< 0.1%
53 3
 
< 0.1%
ValueCountFrequency (%)
9999 18152
4.1%
9352 1
 
< 0.1%
9305 1
 
< 0.1%
9300 3
 
< 0.1%
9285 1
 
< 0.1%

WHEREGET
Categorical

MISSING 

Distinct12
Distinct (%)0.1%
Missing435358
Missing (%)97.8%
Memory size435.2 KiB
1.0
4860 
7.0
1464 
5.0
1386 
2.0
 
472
10.0
 
404
Other values (7)
1188 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7.0
2nd row8.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 4860
 
1.1%
7.0 1464
 
0.3%
5.0 1386
 
0.3%
2.0 472
 
0.1%
10.0 404
 
0.1%
3.0 372
 
0.1%
77.0 353
 
0.1%
9.0 153
 
< 0.1%
8.0 133
 
< 0.1%
99.0 127
 
< 0.1%
Other values (2) 50
 
< 0.1%
(Missing) 435358
97.8%

WORKCFS
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing445132
Missing (%)100.0%
Memory size3.4 MiB

WTKG3
Real number (ℝ)

MISSING 

Distinct599
Distinct (%)0.1%
Missing42078
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean8307.447039
Minimum2268
Maximum29257
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-05-29T00:22:06.590227image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2268
5-th percentile5443
Q16804
median8074
Q39525
95-th percentile12247
Maximum29257
Range26989
Interquartile range (IQR)2721

Descriptive statistics

Standard deviation2144.81727
Coefficient of variation (CV)0.2581800714
Kurtosis2.738972298
Mean8307.447039
Median Absolute Deviation (MAD)1270
Skewness1.075611839
Sum3348349759
Variance4600241.121
MonotonicityNot monotonic
2024-05-29T00:22:07.163706image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9072 21311
 
4.8%
8165 19709
 
4.4%
6804 17595
 
4.0%
7257 17177
 
3.9%
7711 15979
 
3.6%
8618 14202
 
3.2%
6350 12924
 
2.9%
7938 11722
 
2.6%
9979 10890
 
2.4%
7484 10809
 
2.4%
Other values (589) 250736
56.3%
(Missing) 42078
 
9.5%
ValueCountFrequency (%)
2268 10
< 0.1%
2300 1
 
< 0.1%
2313 1
 
< 0.1%
2359 2
 
< 0.1%
2400 1
 
< 0.1%
ValueCountFrequency (%)
29257 1
< 0.1%
29030 2
< 0.1%
28500 1
< 0.1%
28486 1
< 0.1%
28168 1
< 0.1%

_AGE65YR
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size435.0 KiB
1
276713 
2
159340 
3
 
9079

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row3
5th row1

Common Values

ValueCountFrequency (%)
1 276713
62.2%
2 159340
35.8%
3 9079
 
2.0%

Common Values (Plot)

2024-05-29T00:22:07.475728image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

_AGE80
Categorical

HIGH CARDINALITY 

Distinct63
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size437.4 KiB
80
 
36253
65
 
10421
70
 
10371
67
 
9652
68
 
9351
Other values (58)
369084 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row80
2nd row80
3rd row56
4th row73
5th row43

Common Values

ValueCountFrequency (%)
80 36253
 
8.1%
65 10421
 
2.3%
70 10371
 
2.3%
67 9652
 
2.2%
68 9351
 
2.1%
62 9262
 
2.1%
72 9212
 
2.1%
66 9191
 
2.1%
64 9174
 
2.1%
60 9155
 
2.1%
Other values (53) 323090
72.6%

_AGEG5YR
Categorical

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size435.5 KiB
10
47099 
9
44511 
11
43472 
8
36821 
13
36251 
Other values (9)
236978 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row8
4th row14
5th row5

Common Values

ValueCountFrequency (%)
10 47099
10.6%
9 44511
10.0%
11 43472
9.8%
8 36821
8.3%
13 36251
8.1%
7 33644
7.6%
12 32518
 
7.3%
5 29942
 
6.7%
6 28531
 
6.4%
4 28526
 
6.4%
Other values (4) 83817
18.8%

_AGE_G
Categorical

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size435.0 KiB
6
161451 
5
82740 
4
66984 
3
59174 
2
47840 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6
2nd row6
3rd row5
4th row6
5th row3

Common Values

ValueCountFrequency (%)
6 161451
36.3%
5 82740
18.6%
4 66984
15.0%
3 59174
 
13.3%
2 47840
 
10.7%
1 26943
 
6.1%

Common Values (Plot)

2024-05-29T00:22:07.778424image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/